메뉴 건너뛰기




Volumn 15, Issue 18, 2015, Pages 1868-1886

Nano-QSPR modelling of carbon-based nanomaterials properties

Author keywords

Fullerenes; Graphene; MWNTs; Nano QSPR; Physiochemical properties; SWNTs

Indexed keywords

CARBON NANOPARTICLE; CARBON NANOTUBE; DOUBLE WALLED NANOTUBE; FULLERENE; GRAPHENE; MULTI WALLED NANOTUBE; SINGLE WALLED NANOTUBE; CARBON; NANOMATERIAL;

EID: 84934765526     PISSN: 15680266     EISSN: 18734294     Source Type: Journal    
DOI: 10.2174/1568026615666150506145017     Document Type: Article
Times cited : (11)

References (155)
  • 1
    • 84879608513 scopus 로고    scopus 로고
    • Carbon‐Based Nanomaterials for Tissue Engineering
    • Ku, S. H.; Lee, M.; Park, C. B. Carbon‐Based Nanomaterials for Tissue Engineering. Adv. Healthc. Mater., 2013, 2, 244-260.
    • (2013) Adv. Healthc. Mater. , vol.2 , pp. 244-260
    • Ku, S.H.1    Lee, M.2    Park, C.B.3
  • 2
    • 84892907739 scopus 로고    scopus 로고
    • Carbon-based drug delivery carriers for cancer therapy
    • Lim, D. J.; Sim, M.; Oh, L.; Lim, K.; Park, H. Carbon-based drug delivery carriers for cancer therapy. Arch. Pharm. Res., 2014, 37, 43-52.
    • (2014) Arch. Pharm. Res. , vol.37 , pp. 43-52
    • Lim, D.J.1    Sim, M.2    Oh, L.3    Lim, K.4    Park, H.5
  • 3
    • 84876536757 scopus 로고    scopus 로고
    • Carbon-based nanomaterials: Multifunctional materials for biomedical engineering
    • Cha, C.; Shin, S. R.; Annabi, N.; Dokmeci, M. R.; Khademhosseini, A. Carbon-based nanomaterials: multifunctional materials for biomedical engineering. ACS Nano, 2013, 7, 2891-2897.
    • (2013) ACS Nano , vol.7 , pp. 2891-2897
    • Cha, C.1    Shin, S.R.2    Annabi, N.3    Dokmeci, M.R.4    Khademhosseini, A.5
  • 5
    • 84864714083 scopus 로고    scopus 로고
    • Nanotechnology in cosmetics: Opportunities and challenges
    • Raj, S.; Jose, S.; Sumod, U.; Sabitha, M. Nanotechnology in cosmetics: Opportunities and challenges. J. Pharm. Bioallied Sci., 2012, 4, 186.
    • (2012) J. Pharm. Bioallied Sci. , vol.4 , pp. 186
    • Raj, S.1    Jose, S.2    Sumod, U.3    Sabitha, M.4
  • 7
    • 84867627193 scopus 로고    scopus 로고
    • A perspective on fabricating carbon-based nanomaterials by photocatalysis and their applications
    • Ng, Y. H.; Ikeda, S.; Matsumura, M.; Amal, R. A perspective on fabricating carbon-based nanomaterials by photocatalysis and their applications. Energy Environ. Sci., 2012, 5, 9307-9318.
    • (2012) Energy Environ. Sci. , vol.5 , pp. 9307-9318
    • Ng, Y.H.1    Ikeda, S.2    Matsumura, M.3    Amal, R.4
  • 8
    • 49849093393 scopus 로고    scopus 로고
    • Environmental applications of carbon-based nanomaterials
    • Mauter, M. S.; Elimelech, M. Environmental applications of carbon-based nanomaterials. Environ. Sci. Tech., 2008, 42, 5843-5859.
    • (2008) Environ. Sci. Tech. , vol.42 , pp. 5843-5859
    • Mauter, M.S.1    Elimelech, M.2
  • 9
    • 21544464285 scopus 로고
    • Electronic structure and bonding in icosahedral C60
    • Haddon, R. C.; Brus, L. E.; Raghavachari, K., Electronic structure and bonding in icosahedral C60. Chem. Phys. Lett., 1986, 125, 459.
    • (1986) Chem. Phys. Lett. , vol.125 , pp. 459
    • Haddon, R.C.1    Brus, L.E.2    Raghavachari, K.3
  • 11
  • 12
    • 77951037472 scopus 로고    scopus 로고
    • Carbon nanotubes: Promising agents against free radicals
    • Galano, A., Carbon nanotubes: promising agents against free radicals. Nanoscale, 2010, 2, 373-380.
    • (2010) Nanoscale , vol.2 , pp. 373-380
    • Galano, A.1
  • 13
    • 0348233807 scopus 로고    scopus 로고
    • The carbon nanocosmos: Novel materials for the twenty-first century
    • Terrones, M.; Terrones, H., The carbon nanocosmos: novel materials for the twenty-first century. Philos. Trans. A Math. Phys. Eng. Sci., 2003, 361, 2789-2806.
    • (2003) Philos. Trans. A Math. Phys. Eng. Sci. , vol.361 , pp. 2789-2806
    • Terrones, M.1    Terrones, H.2
  • 14
    • 77956964002 scopus 로고    scopus 로고
    • Best Practices for QSAR Model Development, Validation, and Exploitation
    • Tropsha, A. Best Practices for QSAR Model Development, Validation, and Exploitation. Mol. Inform., 2010, 29, 476-488.
    • (2010) Mol. Inform. , vol.29 , pp. 476-488
    • Tropsha, A.1
  • 15
    • 73349083717 scopus 로고    scopus 로고
    • Toward the Development of “Nano-QSARs”: Advances and Challenges
    • Puzyn, T.; Leszczynska, D.; Leszczynski, J., Toward the Development of “Nano-QSARs”: Advances and Challenges. Small, 2009, 5, 2494-2509.
    • (2009) Small , vol.5 , pp. 2494-2509
    • Puzyn, T.1    Leszczynska, D.2    Leszczynski, J.3
  • 16
    • 79952697349 scopus 로고    scopus 로고
    • Predictive models for nanotoxicology: Current challenges and future opportunities
    • Clark, K. A.; White, R. H.; Silbergeld, E. K. Predictive models for nanotoxicology: current challenges and future opportunities. Regul. Toxicol. Pharmacol., 2011, 59, 361-363.
    • (2011) Regul. , vol.59 , pp. 361-363
    • Clark, K.A.1    White, R.H.2    Silbergeld, E.K.3
  • 17
    • 84861059886 scopus 로고    scopus 로고
    • Quantitative structure–property relationship modeling of diverse materials properties
    • Le, T.; Epa, V. C.; Burden, F. R.; Winkler, D.A. Quantitative structure–property relationship modeling of diverse materials properties. Chem. Rev., 2012, 112, 2889-2919.
    • (2012) Chem. Rev. , vol.112 , pp. 2889-2919
    • Le, T.1    Epa, V.C.2    Burden, F.R.3    Winkler, D.A.4
  • 19
    • 84882754089 scopus 로고    scopus 로고
    • Chapter 5 - Computational Approaches
    • Shvedova, B. F. P. A., Ed. Academic Press: Boston
    • Epa, V.; Winkler, D.; Tran, L. Chapter 5 - Computational Approaches. In Adverse Effects of Engineered Nanomaterials, Shvedova, B. F. P. A., Ed. Academic Press: Boston, 2012; pp 85-96.
    • (2012) In Adverse Effects of Engineered Nanomaterials , pp. 85-96
    • Epa, V.1    Winkler, D.2    Tran, L.3
  • 21
    • 84885757504 scopus 로고    scopus 로고
    • Applying quantitative structure–activity relationship approaches to nanotoxicology: Current status and future potential
    • Winkler, D. A.; Mombelli, E.; Pietroiusti, A.; Tran, L.; Worth, A.; Fadeel, B.; McCall, M. J. Applying quantitative structure–activity relationship approaches to nanotoxicology: Current status and future potential. Toxicology, 2013, 313, 15-23.
    • (2013) Toxicology , vol.313 , pp. 15-23
    • Winkler, D.A.1    Mombelli, E.2    Pietroiusti, A.3    Tran, L.4    Worth, A.5    Fadeel, B.6    Mccall, M.J.7
  • 22
    • 77958029276 scopus 로고    scopus 로고
    • Quantitative correlation of physical and chemical properties with chemical structure: Utility for prediction
    • Katritzky, A. R.; Kuanar, M.; Slavov, S.; Hall, C. D.; Karelson, M.; Kahn, I.; Dobchev, D. A. Quantitative correlation of physical and chemical properties with chemical structure: utility for prediction. Chem. Rev., 2010, 110, 5714-5789.
    • (2010) Chem. Rev. , vol.110 , pp. 5714-5789
    • Katritzky, A.R.1    Kuanar, M.2    Slavov, S.3    Hall, C.D.4    Karelson, M.5    Kahn, I.6    Dobchev, D.A.7
  • 23
    • 84863686834 scopus 로고    scopus 로고
    • Quantitative structure–activity/property relationships: The ubiquitous links between cause and effect
    • Berhanu, W. M.; Pillai, G. G.; Oliferenko, A. A.; Katritzky, A. R. Quantitative structure–activity/property relationships: The ubiquitous links between cause and effect. ChemPlusChem, 2012, 77, 507-517.
    • (2012) Chempluschem , vol.77 , pp. 507-517
    • Berhanu, W.M.1    Pillai, G.G.2    Oliferenko, A.A.3    Katritzky, A.R.4
  • 24
    • 33645923096 scopus 로고    scopus 로고
    • Computational methods in developing quantitative structure-activity relationships (QSAR): A review
    • Dudek, A. Z.; Arodz, T.; Galvez, J. Computational methods in developing quantitative structure-activity relationships (QSAR): a review. Comb. Chem. High Throughput Screening, 2006, 9, 213-228.
    • (2006) Comb. Chem. High Throughput Screening , vol.9 , pp. 213-228
    • Dudek, A.Z.1    Arodz, T.2    Galvez, J.3
  • 25
    • 0001321370 scopus 로고
    • QSPR: The correlation and quantitative prediction of chemical and physical properties from structure
    • Katritzky, A. R.; Lobanov, V. S.; Karelson, M. QSPR: the correlation and quantitative prediction of chemical and physical properties from structure. Chem. Soc. Rev., 1995, 24, 279-287.
    • (1995) Chem. Soc. Rev. , vol.24 , pp. 279-287
    • Katritzky, A.R.1    Lobanov, V.S.2    Karelson, M.3
  • 26
    • 0036933967 scopus 로고    scopus 로고
    • Tropsha, A. Predictive QSAR modeling based on diversity sampling of experimental datasets for the training and test set selection
    • Golbraikh, A.; Tropsha, A. Predictive QSAR modeling based on diversity sampling of experimental datasets for the training and test set selection. Mol. Dversity, 2000, 5, 231-243.
    • (2000) Mol. Dversity , vol.5 , pp. 231-243
    • Golbraikh, A.1
  • 29
    • 84872458364 scopus 로고    scopus 로고
    • In Towards Efficient Designing of Safe Nanomaterials: Innovative Merge of Computational Approaches and Experimental Techniques
    • Rasulev, B.; Gajewicz, A.; Puzyn, T.; Leszczynska, D.; Leszczynski, J. Nano-QSAR: Advances and Challenges. In Towards Efficient Designing of Safe Nanomaterials: Innovative Merge of Computational Approaches and Experimental Techniques, 2012; p 220.
    • (2012) Nano-Qsar: Advances and Challenges , pp. 220
    • Rasulev, B.1    Gajewicz, A.2    Puzyn, T.3    Leszczynska, D.4    Leszczynski, J.5
  • 31
    • 84876583401 scopus 로고    scopus 로고
    • A. Developing Descriptors To Predict Mechanical Properties of Nanotubes
    • Borders, T. L.; Fonseca, A. F.; Zhang, H.; Cho, K.; Rusinko III, A. Developing Descriptors To Predict Mechanical Properties of Nanotubes. J. Chem. Inf. Model., 2013, 53, 773-782.
    • (2013) J. Chem. Inf. Model. , vol.53 , pp. 773-782
    • Borders, T.L.1    Fonseca, A.F.2    Zhang, H.3    Cho, K.4    Rusinko, I.5
  • 32
    • 67651095738 scopus 로고    scopus 로고
    • How can ab initio simulations address risks in nanotech?
    • Barnard, A. S., How can ab initio simulations address risks in nanotech? Nat. Nanotech., 2009, 4, 332-335.
    • (2009) Nat. Nanotech. , vol.4 , pp. 332-335
    • Barnard, A.S.1
  • 34
    • 77749283358 scopus 로고    scopus 로고
    • Computational methods to predict the reactivity of nanoparticles through structure-property relationships
    • Poater, A.; Saliner, A. G.; Solà, M.; Cavallo, L.; Worth, A. P. Computational methods to predict the reactivity of nanoparticles through structure-property relationships. Expert Opin. Drug Deliv., 2010, 7, 295-305.
    • (2010) Expert Opin. Drug Deliv. , vol.7 , pp. 295-305
    • Poater, A.1    Saliner, A.G.2    Solà, M.3    Cavallo, L.4    Worth, A.P.5
  • 35
    • 33746933539 scopus 로고    scopus 로고
    • Index of zig-zag polyhex nanotubes. MATCH Commun
    • Ashrafi, A. R.; Loghman, A. PI index of zig-zag polyhex nanotubes. MATCH Commun. Math. Comput. Chem., 2006, 55, 447-452.
    • (2006) Math. Comput. Chem. , vol.55 , pp. 447-452
    • Ashrafi, A.R.1    Loghman, A.2
  • 36
    • 43949116277 scopus 로고    scopus 로고
    • The vertex PI and Szeged indices of an infinite family of fullerenes
    • Ashrafi, A.; Ghorbani, M.; Jalali, M., The vertex PI and Szeged indices of an infinite family of fullerenes. J. Theor. Comput. Chem., 2008, 7, 221-231.
    • (2008) J. Theor. Comput. Chem. , vol.7 , pp. 221-231
    • Ashrafi, A.1    Ghorbani, M.2    Jalali, M.3
  • 37
    • 70350155717 scopus 로고    scopus 로고
    • Additive InChI-based optimal descriptors: QSPR modeling of fullerene C60 solubility in organic solvents
    • Toropov, A. A.; Toropova, A. P.; Benfenati, E.; Leszczynska, D.; Leszczynski, J., Additive InChI-based optimal descriptors: QSPR modeling of fullerene C60 solubility in organic solvents. J. Math. Chem., 2009, 46, 1232-1251.
    • (2009) J. Math. Chem. , vol.46 , pp. 1232-1251
    • Toropov, A.A.1    Toropova, A.P.2    Benfenati, E.3    Leszczynska, D.4    Leszczynski, J.5
  • 38
    • 43549096626 scopus 로고    scopus 로고
    • Multiplicative SMILES-based optimal descriptors: QSPR modeling of fullerene C60 solubility in organic solvents
    • Toropov, A. A.; Rasulev, B. F.; Leszczynska, D.; Leszczynski, J. Multiplicative SMILES-based optimal descriptors: QSPR modeling of fullerene C60 solubility in organic solvents. Chem. Phys. Lett., 2008, 457, 332-336.
    • (2008) Chem. Phys. Lett. , vol.457 , pp. 332-336
    • Toropov, A.A.1    Rasulev, B.F.2    Leszczynska, D.3    Leszczynski, J.4
  • 39
    • 34547609322 scopus 로고    scopus 로고
    • Additive SMILES based optimal descriptors: QSPR modeling of fullerene C60 solubility in organic solvents
    • Toropov, A. A.; Rasulev, B. F.; Leszczynska, D.; Leszczynski, J. Additive SMILES based optimal descriptors: QSPR modeling of fullerene C60 solubility in organic solvents. Chem. Phys. Lett., 2007, 444, 209-214.
    • (2007) Chem. Phys. Lett. , vol.444 , pp. 209-214
    • Toropov, A.A.1    Rasulev, B.F.2    Leszczynska, D.3    Leszczynski, J.4
  • 41
    • 0001117790 scopus 로고    scopus 로고
    • Structure and electronic properties of carbon nanotubes
    • Odom, T. W.; Huang, J. L.; Kim, P.; Lieber, C. M. Structure and electronic properties of carbon nanotubes. J. Phys. Chem. B, 2000, 104, 2794-2809.
    • (2000) J. Phys. Chem. B , vol.104 , pp. 2794-2809
    • Odom, T.W.1    Huang, J.L.2    Kim, P.3    Lieber, C.M.4
  • 42
    • 79956035984 scopus 로고    scopus 로고
    • Electronic properties of multiwalled carbon nanotubes in an embedded vertical array
    • Li, J.; Stevens, R.; Delzeit, L.; Ng, H. T.; Cassell, A.; Han, J.; Meyyappan, M. Electronic properties of multiwalled carbon nanotubes in an embedded vertical array. Appl. Phys.. Let., 2002, 81, 910-912.
    • (2002) Appl. Phys.. Let. , vol.81 , pp. 910-912
    • Li, J.1    Stevens, R.2    Delzeit, L.3    Ng, H.T.4    Cassell, A.5    Han, J.6    Meyyappan, M.7
  • 43
    • 0018709674 scopus 로고
    • Chance factors in studies of quantitative structure-activity relationships
    • Topliss, J. G.; Edwards, R. P., Chance factors in studies of quantitative structure-activity relationships. J. Med. Chem., 1979, 22, 1238-1244.
    • (1979) J. Med. Chem. , vol.22 , pp. 1238-1244
    • Topliss, J.G.1    Edwards, R.P.2
  • 45
    • 0036136840 scopus 로고    scopus 로고
    • Enhancement of binary QSAR analysis by a GA-based variable selection method
    • Gao, H.; Lajiness, M. S.; Drie, J.V. Enhancement of binary QSAR analysis by a GA-based variable selection method. J. Mol. Graph. Model., 2002, 20, 259-268.
    • (2002) J. Mol. Graph. Model. , vol.20 , pp. 259-268
    • Gao, H.1    Lajiness, M.S.2    Drie, J.V.3
  • 46
    • 77949997095 scopus 로고    scopus 로고
    • Simultaneously Optimized Support Vector Regression Combined With Genetic Algorithm for QSAR Analysis of KDR/VEGFR-2 Inhibitors
    • Sun, M.; Chen, J.; Cai, J.; Cao, M.; Yin, S.; Ji, M. Simultaneously Optimized Support Vector Regression Combined With Genetic Algorithm for QSAR Analysis of KDR/VEGFR-2 Inhibitors. Chem. Bio. Drug Des., 2010, 75, 494-505.
    • (2010) Chem. Bio. Drug Des. , vol.75 , pp. 494-505
    • Sun, M.1    Chen, J.2    Cai, J.3    Cao, M.4    Yin, S.5    Ji, M.6
  • 47
    • 0033647286 scopus 로고    scopus 로고
    • Application of genetic algorithm-PLS for feature selection in spectral data sets
    • Leardi, R., Application of genetic algorithm-PLS for feature selection in spectral data sets. J. Chemometr., 2000, 14, 643-655.
    • (2000) J. Chemometr. , vol.14 , pp. 643-655
    • Leardi, R.1
  • 48
    • 77957243205 scopus 로고    scopus 로고
    • Replacement Method and Enhanced Replacement Method Versus the Genetic Algorithm Approach for the Selection of Molecular Descriptors in QSPR/QSAR Theories
    • Mercader, A. G.; Duchowicz, P. R.; Fernández, F. M.; Castro, E. A., Replacement Method and Enhanced Replacement Method Versus the Genetic Algorithm Approach for the Selection of Molecular Descriptors in QSPR/QSAR Theories. J. Chem. Inf. Model., 2010, 50, 1542-1548.
    • (2010) J. Chem. Inf. Model. , vol.50 , pp. 1542-1548
    • Mercader, A.G.1    Duchowicz, P.R.2    Fernández, F.M.3    Castro, E.A.4
  • 49
    • 79960743449 scopus 로고    scopus 로고
    • Advances in the Replacement and Enhanced Replacement Method in QSAR and QSPR Theories
    • Mercader, A. G.; Duchowicz, P. R.; Fernández, F. M.; Castro, E.A. Advances in the Replacement and Enhanced Replacement Method in QSAR and QSPR Theories. J. Chem. Inf. Model., 2011, 51, 1575-1581.
    • (2011) J. Chem. Inf. Model. , vol.51 , pp. 1575-1581
    • Mercader, A.G.1    Duchowicz, P.R.2    Fernández, F.M.3    Castro, E.A.4
  • 50
    • 0035948747 scopus 로고    scopus 로고
    • The successive projections algorithm for variable selection in spectroscopic multicomponent analysis
    • Arauro, M. C. U.; Saldanha, T. C. B.; Galvao, R. K. H.; Yoneyama, T.; Chame, H. C.; Visani, V. The successive projections algorithm for variable selection in spectroscopic multicomponent analysis. Chemometr. Intell. Lab. Syst., 2001, 57, 65-73.
    • (2001) Chemometr. Intell. Lab. Syst. , vol.57 , pp. 65-73
    • Arauro, M.1    Saldanha, T.2    Galvao, R.3    Yoneyama, T.4    Chame, H.C.5    Visani, V.6
  • 53
    • 67949124727 scopus 로고    scopus 로고
    • Optimal sparse descriptor selection for QSAR using bayesian methods
    • Burden, F.; Winkler, D., Optimal sparse descriptor selection for QSAR using bayesian methods. QSAR Comb Sci., 2009, 28, 645-653.
    • (2009) QSAR Comb Sci. , vol.28 , pp. 645-653
    • Burden, F.1    Winkler, D.2
  • 54
    • 76749109588 scopus 로고    scopus 로고
    • An Optimal Self‐Pruning Neural Network and Nonlinear Descriptor Selection in QSAR
    • Burden, F. R.; Winkler, D. A., An Optimal Self‐Pruning Neural Network and Nonlinear Descriptor Selection in QSAR. QSAR Comb Sci., 2009, 28, 1092-1097.
    • (2009) QSAR Comb Sci. , vol.28 , pp. 1092-1097
    • Burden, F.R.1    Winkler, D.A.2
  • 56
    • 85047686957 scopus 로고    scopus 로고
    • Feature selection methods in QSAR studies
    • Goodarzi, M.; Dejaegher, B.; Heyden, Y. V., Feature selection methods in QSAR studies. J. AOAC Int., 2012, 95, 636-651.
    • (2012) J. AOAC Int. , vol.95 , pp. 636-651
    • Goodarzi, M.1    Dejaegher, B.2    Heyden, Y.V.3
  • 58
    • 84896980988 scopus 로고    scopus 로고
    • Choosing feature selection and learning algorithms in QSAR
    • Eklund, M.; Norinder, U.; Boyer, S.; Carlsson, L. Choosing feature selection and learning algorithms in QSAR. J. Chem. Inf. Model., 2014, 54, 837-843.
    • (2014) J. Chem. Inf. Model. , vol.54 , pp. 837-843
    • Eklund, M.1    Norinder, U.2    Boyer, S.3    Carlsson, L.4
  • 59
    • 0000547160 scopus 로고
    • Principal component regression in NIR analysis: Viewpoints, background details and selection of components
    • Næs, T.; Martens, H. Principal component regression in NIR analysis: Viewpoints, background details and selection of components. J. Chemometr., 1988, 2, 155-167.
    • (1988) J. Chemometr. , vol.2 , pp. 155-167
    • Næs, T.1    Martens, H.2
  • 60
    • 11144325691 scopus 로고
    • Partial leastsquares regression: A tutorial
    • Geladi, P.; Kowalski, B. Partial leastsquares regression: A tutorial. Anal. Chim. Acta, 1986, 185, 1-17.
    • (1986) Anal. Chim. Acta , vol.185 , pp. 1-17
    • Geladi, P.1    Kowalski, B.2
  • 62
    • 0031735568 scopus 로고    scopus 로고
    • Neural networks in multivariate calibration
    • Despagne, F. e. e.; Massart, D. L., Neural networks in multivariate calibration. Analyst, 1998, 123, 157R-178R.
    • (1998) Analyst , vol.123 , pp. 157R-178R
    • Despagne, F.E.1    Massart, D.L.2
  • 63
    • 84972539015 scopus 로고
    • Neural Networks: A Review from a Statistical Perspective
    • Cheng, B.; Titterington, D. M., Neural Networks: A Review from a Statistical Perspective. Statist. Sci., 1994, 9, 2-30.
    • (1994) Statist. Sci. , vol.9 , pp. 2-30
    • Cheng, B.1    Titterington, D.M.2
  • 64
    • 84926662675 scopus 로고
    • Nearest neighbor pattern classification
    • Hart, P.; Cover, T., Nearest neighbor pattern classification. IEEE Trans. Inf. Theory, 1988, 13, 21-27.
    • (1988) IEEE Trans. Inf. Theory , vol.13 , pp. 21-27
    • Hart, P.1    Cover, T.2
  • 65
    • 33244481088 scopus 로고    scopus 로고
    • Three-dimensional QSAR using the k-nearest neighbor method and its interpretation
    • Ajmani, S.; Jadhav, K.; Kulkarni, S. A., Three-dimensional QSAR using the k-nearest neighbor method and its interpretation. J. Chem. Inf. Model., 2006, 46, 24-31.
    • (2006) J. Chem. Inf. Model. , vol.46 , pp. 24-31
    • Ajmani, S.1    Jadhav, K.2    Kulkarni, S.A.3
  • 66
    • 34249753618 scopus 로고
    • Support-vector networks
    • Cortes, C. V. Support-vector networks. Mach. Learn., 1995, 20, 273-297.
    • (1995) Mach. Learn. , vol.20 , pp. 273-297
    • Cortes, C.V.1
  • 68
    • 67049158574 scopus 로고    scopus 로고
    • Current mathematical methods used in QSAR/QSPR studies
    • Liu, P.; Long, W., Current mathematical methods used in QSAR/QSPR studies. Int. J. Mol. Sci., 2009, 10, 1978-1998.
    • (2009) Int. J. Mol. Sci. , vol.10 , pp. 1978-1998
    • Liu, P.1    Long, W.2
  • 69
    • 0033549850 scopus 로고    scopus 로고
    • Robust QSAR modelsusing Bayesian regularized neural networks
    • Burden, F. R.; Winkler, D. A., Robust QSAR models using Bayesian regularized neural networks. J. Med. Chem., 1999, 42, 3183-3187.
    • (1999) J. Med. Chem. , vol.42 , pp. 3183-3187
    • Burden, F.R.1    Winkler, D.A.2
  • 70
    • 34250628103 scopus 로고    scopus 로고
    • Principles of QSAR models validation: Internal and external
    • Gramatica, P., Principles of QSAR models validation: internal and external. QSAR Comb Sci., 2007, 26, 694-701.
    • (2007) QSAR Comb Sci. , vol.26 , pp. 694-701
    • Gramatica, P.1
  • 72
    • 0000174867 scopus 로고    scopus 로고
    • Model validation by permutation tests: Applications to variable selection
    • Lindgren, F.; Hansen, B.; Karcher, W.; Sjöström, M.; Eriksson, L., Model validation by permutation tests: Applications to variable selection. J. Chemometr., 1996, 10, 521-532.
    • (1996) J. Chemometr. , vol.10 , pp. 521-532
    • Lindgren, F.1    Hansen, B.2    Karcher, W.3    Sjöström, M.4    Eriksson, L.5
  • 73
    • 57549095014 scopus 로고    scopus 로고
    • External Validation and Prediction Employing the Predictive Squared Correlation Coefficient -Test Set Activity Mean vs Training Set Activity Mean
    • Schü ü rmann, G.; Ebert, R.-U.; Chen, J.; Wang, B.; Kü hne, R., External Validation and Prediction Employing the Predictive Squared Correlation Coefficient -Test Set Activity Mean vs Training Set Activity Mean. J. Chem. Inf. Model., 2008, 48, 2140-2145.
    • (2008) J. Chem. Inf. Model. , vol.48 , pp. 2140-2145
    • Schü Ü Rmann, G.1    Ebert, R.-U.2    Chen, J.3    Wang, B.4    Kü Hne, R.5
  • 74
    • 20444404916 scopus 로고    scopus 로고
    • Assessing the reliability of a QSAR model's predictions
    • He, L.; Jurs, P. C., Assessing the reliability of a QSAR model's predictions. J. Mol. Graph. Model., 2005, 23, 503-523.
    • (2005) J. Mol. Graph. Model. , vol.23 , pp. 503-523
    • He, L.1    Jurs, P.C.2
  • 75
    • 76749124899 scopus 로고    scopus 로고
    • Robust modelling of solubility in supercritical carbon dioxide using Bayesian methods
    • Tarasova, A.; Burden, F.; Gasteiger, J.; Winkler, D. A., Robust modelling of solubility in supercritical carbon dioxide using Bayesian methods. J. Mol. Graph. Model., 2010, 28, 593-597.
    • (2010) J. Mol. Graph. Model. , vol.28 , pp. 593-597
    • Tarasova, A.1    Burden, F.2    Gasteiger, J.3    Winkler, D.A.4
  • 76
    • 68149182282 scopus 로고    scopus 로고
    • Comments on the Definition of the Q2 Parameter for QSAR Validation
    • Consonni, V.; Ballabio, D.; Todeschini, R., Comments on the Definition of the Q2 Parameter for QSAR Validation. J. Chem. Inf. Model., 2009, 49, 1669-1678.
    • (2009) J. Chem. Inf. Model. , vol.49 , pp. 1669-1678
    • Consonni, V.1    Ballabio, D.2    Todeschini, R.3
  • 77
    • 34250628103 scopus 로고    scopus 로고
    • Principles of QSAR models validation: Internal and external
    • Gramatica, P., Principles of QSAR models validation: internal and external. QSAR Combi. Sci., 2007, 694-701.
    • (2007) QSAR Combi. Sci. , pp. 694-701
    • Gramatica, P.1
  • 78
    • 84896342121 scopus 로고    scopus 로고
    • An Alignment Independent 3D-QSAR Modeling of Dispersibility of Single-walled Carbon Nanotubes in Different Organic Solvents
    • Rofouei, M.; Salahinejad, M.; Ghasemi, J. B., An Alignment Independent 3D-QSAR Modeling of Dispersibility of Single-walled Carbon Nanotubes in Different Organic Solvents. Fuller. Nanotub. Car. N., 2014, 22, 605-617.
    • (2014) Fuller. Nanotub. Car. N. , vol.22 , pp. 605-617
    • Rofouei, M.1    Salahinejad, M.2    Ghasemi, J.B.3
  • 79
    • 84874752995 scopus 로고    scopus 로고
    • Drug solubility: Importance and enhancement techniques
    • Savjani, K. T.; Gajjar, A. K.; Savjani, J. K., Drug solubility: importance and enhancement techniques. ISRN Pharm., 2012, 2012.
    • (2012) ISRN Pharm. , pp. 2012
    • Savjani, K.T.1    Gajjar, A.K.2    Savjani, J.K.3
  • 80
    • 84879698395 scopus 로고    scopus 로고
    • Aqueous solubility prediction: Do crystal lattice interactions help?
    • Salahinejad, M.; Le, T. C.; Winkler, D. A., Aqueous solubility prediction: do crystal lattice interactions help? Mol. Pharm., 2013, 10, 2757-2766.
    • (2013) Mol. Pharm. , vol.10 , pp. 2757-2766
    • Salahinejad, M.1    Le, T.C.2    Winkler, D.A.3
  • 81
    • 0000445633 scopus 로고    scopus 로고
    • Prediction of aqueous solubility of organic compounds from molecular structure
    • Mitchell, B. E.; Jurs, P.C. Prediction of aqueous solubility of organic compounds from molecular structure. J. Chem. Inf. Comput. Sci., 1998, 38, 489-496.
    • (1998) J. Chem. Inf. Comput. Sci. , vol.38 , pp. 489-496
    • Mitchell, B.E.1    Jurs, P.C.2
  • 82
    • 79955741760 scopus 로고    scopus 로고
    • Recent advances on aqueous solubility prediction
    • Wang, J.; Hou, T. Recent advances on aqueous solubility prediction. Comb. Chem. High Throughput Screening, 2011, 14, 328-338.
    • (2011) Comb. Chem. High Throughput Screening , vol.14 , pp. 328-338
    • Wang, J.1    Hou, T.2
  • 83
    • 2542427761 scopus 로고    scopus 로고
    • Using Hansen solubility parameters to correlate solubility of C60 fullerene in organic solvents and in polymers
    • Hansen, C. M.; Smith, A. L., Using Hansen solubility parameters to correlate solubility of C60 fullerene in organic solvents and in polymers. Carbon, 2004, 42, 1591-1597.
    • (2004) Carbon , vol.42 , pp. 1591-1597
    • Hansen, C.M.1    Smith, A.L.2
  • 84
    • 26444527403 scopus 로고    scopus 로고
    • Multiparameter solubility model of fullerene C60
    • Huang, J.-C., Multiparameter solubility model of fullerene C60. Fluid Phase Equilibria, 2005, 237, 186-192.
    • (2005) Fluid Phase Equilibria , vol.237 , pp. 186-192
    • Huang, J.-C.1
  • 85
    • 0041573625 scopus 로고
    • Linear solvation energy relationships. 23. A comprehensive collection of the solvatochromic parameters,.pi.*,.alpha., and.beta., and some methods for simplifying the generalized solvatochromic equation
    • Kamlet, M. J.; Abboud, J. L. M.; Abraham, M. H.; Taft, R. W., Linear solvation energy relationships. 23. A comprehensive collection of the solvatochromic parameters,.pi.*,.alpha., and.beta., and some methods for simplifying the generalized solvatochromic equation. J. Org. Chem., 1983, 48, 2877-2887.
    • (1983) J. Org. Chem. , vol.48 , pp. 2877-2887
    • Kamlet, M.J.1    Abboud, J.2    Abraham, M.H.3    Taft, R.W.4
  • 87
    • 0035272211 scopus 로고    scopus 로고
    • Prediction of C60 solubilities from solvent molecular structures
    • Danauskas, S. M.; Jurs, P. C., Prediction of C60 solubilities from solvent molecular structures. J. Chem. Inf. Comput. Sci., 2001, 41, 419-424.
    • (2001) J. Chem. Inf. Comput. Sci. , vol.41 , pp. 419-424
    • Danauskas, S.M.1    Jurs, P.C.2
  • 88
    • 38149048424 scopus 로고    scopus 로고
    • Molecular‐Based Model for Prediction of Solubility of C60 Fullerene in Various Solvents
    • Gharagheizi, F.; Alamdari, R.F. A Molecular‐Based Model for Prediction of Solubility of C60 Fullerene in Various Solvents. Fuller. Nanotub. Car. N., 2008, 16, 40-57.
    • (2008) Fuller. Nanotub. Car.N. , vol.16 , pp. 40-57
    • Gharagheizi, F.1    Alamdari, R.2
  • 89
    • 0343826791 scopus 로고    scopus 로고
    • Artificial neural network approach to predict the solubility of C60 in various solvents
    • Kiss, I. Z.; Mándi, G.; Beck, M.T. Artificial neural network approach to predict the solubility of C60 in various solvents. J. Phys. Chem. A, 2000, 104, 8081-8088.
    • (2000) J. Phys. Chem. A , vol.104 , pp. 8081-8088
    • Kiss, I.Z.1    Mándi, G.2    Beck, M.T.3
  • 90
    • 27744444218 scopus 로고    scopus 로고
    • Accurate quantitative structure-property relationship model to predict the solubility of C60 in various solvents based on a novel approach using a least-squares support vector machine
    • Liu, H.; Yao, X.; Zhang, R.; Liu, M.; Hu, Z.; Fan, B. Accurate quantitative structure-property relationship model to predict the solubility of C60 in various solvents based on a novel approach using a least-squares support vector machine. J. Phys. Chem. B, 2005, 109, 20565-20571.
    • (2005) J. Phys. Chem. B , vol.109 , pp. 20565-20571
    • Liu, H.1    Yao, X.2    Zhang, R.3    Liu, M.4    Hu, Z.5    Fan, B.6
  • 92
    • 0033474376 scopus 로고    scopus 로고
    • QSPR and QSAR models derived using large molecular descriptor spaces. A review of CODESSA applications. Collect
    • Karelson, M.; Maran, U.; Wang, Y.; Katritzky, A.R. QSPR and QSAR models derived using large molecular descriptor spaces. A review of CODESSA applications. Collect. Czech. Chem. Commun., 1999, 64, 1551-1571.
    • (1999) Czech. Chem. Commun. , vol.64 , pp. 1551-1571
    • Karelson, M.1    Maran, U.2    Wang, Y.3    Katritzky, A.R.4
  • 93
    • 34548567387 scopus 로고    scopus 로고
    • QSPR modeling of solubility of polyaromatic hydrocarbons and fullerene in 1-octanol and n-heptane
    • Martin, D.; Maran, U.; Sild, S.; Karelson, M., QSPR modeling of solubility of polyaromatic hydrocarbons and fullerene in 1-octanol and n-heptane. J. Phys. Chem. B, 2007, 111, 9853-9857.
    • (2007) J. Phys. Chem. B , vol.111 , pp. 9853-9857
    • Martin, D.1    Maran, U.2    Sild, S.3    Karelson, M.4
  • 94
    • 80051588636 scopus 로고    scopus 로고
    • Improved model for fullerene C60 solubility in organic solvents based on quantum-chemical and topological descriptors
    • Petrova, T.; Rasulev, B. F.; Toropov, A. A.; Leszczynska, D.; Leszczynski, J., Improved model for fullerene C60 solubility in organic solvents based on quantum-chemical and topological descriptors. J. Nanopart. Res., 2011, 13, 3235-3247.
    • (2011) J. Nanopart. Res. , vol.13 , pp. 3235-3247
    • Petrova, T.1    Rasulev, B.F.2    Toropov, A.A.3    Leszczynska, D.4    Leszczynski, J.5
  • 96
    • 34249681192 scopus 로고    scopus 로고
    • QSPR study on solubility of fullerene C60 in organic solvents using optimal descriptors calculated with SMILES
    • Toropov, A. A.; Leszczynska, D.; Leszczynski, J., QSPR study on solubility of fullerene C60 in organic solvents using optimal descriptors calculated with SMILES. Chem. Phys. Lett., 2007, 441, 119-122.
    • (2007) Chem. Phys. Lett. , vol.441 , pp. 119-122
    • Toropov, A.A.1    Leszczynska, D.2    Leszczynski, J.3
  • 97
    • 33847089726 scopus 로고
    • Regarding a generalized scale of solvent polarities
    • Abboud, J. L.; Kamlet, M. J.; Taft, R., Regarding a generalized scale of solvent polarities. J. Am. Chem. Soc., 1977, 99, 8325-8327.
    • (1977) J. Am. Chem. Soc. , vol.99 , pp. 8325-8327
    • Abboud, J.L.1    Kamlet, M.J.2    Taft, R.3
  • 98
    • 0041573625 scopus 로고
    • Linear solvation energy relationships. 23. A comprehensive collection of the solvatochromic parameters,.pi.*,.alpha., and.beta., and some methods for simplifying the generalized solvatochromic equation
    • Kamlet, M. J.; Abboud, J. L. M.; Abraham, M. H.; Taft, R. W., Linear solvation energy relationships. 23. A comprehensive collection of the solvatochromic parameters,.pi.*,.alpha., and.beta., and some methods for simplifying the generalized solvatochromic equation. Journal of Organic Chemistry, 1983, 48, 2877-2887.
    • (1983) Journal of Organic Chemistry , vol.48 , pp. 2877-2887
    • Kamlet, M.J.1    Abboud, J.2    Abraham, M.H.3    Taft, R.W.4
  • 99
    • 0000350418 scopus 로고    scopus 로고
    • Correlation between Lewis acid-base surface interaction components and linear solvation energy relationship solvatochromic α and β parameters
    • Lee, L.-H. Correlation between Lewis acid-base surface interaction components and linear solvation energy relationship solvatochromic α and β parameters. Langmuir, 1996, 12, 1681-1687.
    • (1996) Langmuir , vol.12 , pp. 1681-1687
    • Lee, L.-H.1
  • 100
    • 33845279095 scopus 로고
    • Linear solvation energy relationships: Standard molar Gibbs free energies and enthalpies of transfer of ions from water into nonaqueous solvents
    • Marcus, Y.; Kamlet, M.; Taft, R., Linear solvation energy relationships: standard molar Gibbs free energies and enthalpies of transfer of ions from water into nonaqueous solvents. J. Phys. Chem., 1988, 92, 3613-3622.
    • (1988) J. Phys. Chem. , vol.92 , pp. 3613-3622
    • Marcus, Y.1    Kamlet, M.2    Taft, R.3
  • 101
    • 2342599101 scopus 로고    scopus 로고
    • Determination of sets of solute descriptors from chromatographic measurements
    • Abraham, M. H.; Ibrahim, A.; Zissimos, A. M., Determination of sets of solute descriptors from chromatographic measurements. J. Chromatogr. A, 2004, 1037, 29-47.
    • (2004) J. Chromatogr. A , vol.1037 , pp. 29-47
    • Abraham, M.H.1    Ibrahim, A.2    Zissimos, A.M.3
  • 102
    • 33751386072 scopus 로고
    • Solubility of fullerene (C60) in a variety of solvents
    • Ruoff, R.; Tse, D. S.; Malhotra, R.; Lorents, D.C. Solubility of fullerene (C60) in a variety of solvents. J. Phys. Chem., 1993, 97, 3379-3383.
    • (1993) J. Phys. Chem. , vol.97 , pp. 3379-3383
    • Ruoff, R.1    Tse, D.S.2    Malhotra, R.3    Lorents, D.C.4
  • 103
    • 0034143042 scopus 로고    scopus 로고
    • Correlation and prediction of the solubility of Buckminsterfullerene in organic solvents; estimation of some physicochemical properties
    • Abraham, M. H.; Green, C. E.; Acree, W. E., Correlation and prediction of the solubility of Buckminsterfullerene in organic solvents; estimation of some physicochemical properties. J. Chem. Soc., Perkin Trans. 2., 2000, 281-286.
    • (2000) J. Chem. Soc., Perkin Trans , vol.2 , pp. 281-286
    • Abraham, M.H.1    Green, C.E.2    Acree, W.E.3
  • 104
    • 0010915501 scopus 로고    scopus 로고
    • Quantitative Treatment of Fullerene C60 Solubility Data
    • Flunt, R.; Makitra, R.; Makohon, O.; Pyrih, J., Quantitative Treatment of Fullerene C60 Solubility Data. Org. React. Tartu, 1997, 31, 21-26.
    • (1997) Org. React. Tartu , vol.31 , pp. 21-26
    • Flunt, R.1    Makitra, R.2    Makohon, O.3    Pyrih, J.4
  • 106
    • 0031251590 scopus 로고    scopus 로고
    • Solubilities of buckminsterfullerene and sulfur hexafluoride in various solvents
    • Marcus, Y., Solubilities of buckminsterfullerene and sulfur hexafluoride in various solvents. J. Phys. Chem. B, 1997, 101, 8617-8623.
    • (1997) J. Phys. Chem. B , vol.101 , pp. 8617-8623
    • Marcus, Y.1
  • 108
    • 84884816212 scopus 로고    scopus 로고
    • New LSER Model Based on Solvent Empirical Parameters for the Prediction and Description of the Solubility of Buckminsterfullerene in Various Solvents
    • Yousefinejad, S.; Honarasa, F.; Abbasitabar, F.; Arianezhad, Z., New LSER Model Based on Solvent Empirical Parameters for the Prediction and Description of the Solubility of Buckminsterfullerene in Various Solvents. J. Sol. Chem., 2013, 42, 1620-1632.
    • (2013) J. Sol. Chem. , vol.42 , pp. 1620-1632
    • Yousefinejad, S.1    Honarasa, F.2    Abbasitabar, F.3    Arianezhad, Z.4
  • 110
    • 4444358555 scopus 로고    scopus 로고
    • 50 Years with solubility parameters-past and future
    • Hansen, C. M., 50 Years with solubility parameters-past and future. Prog. Org. Coat., 2004, 51, 77-84.
    • (2004) Prog. Org. Coat , vol.51 , pp. 77-84
    • Hansen, C.M.1
  • 112
    • 79960532130 scopus 로고    scopus 로고
    • Prediction of solubility of fullerene C60 in various organic solvents by genetic algorithm-multiple linear regression
    • Pourbasheer, E.; Riahi, S.; Ganjali, M. R.; Norouzi, P., Prediction of solubility of fullerene C60 in various organic solvents by genetic algorithm-multiple linear regression. Fuller. Nanotub. Car. N., 2011, 19, 585-598.
    • (2011) Fuller. Nanotub. Car. N. , vol.19 , pp. 585-598
    • Pourbasheer, E.1    Riahi, S.2    Ganjali, M.R.3    Norouzi, P.4
  • 114
    • 84868153259 scopus 로고    scopus 로고
    • Alignment Independent 3D-QSAR Modeling of Fullerene (C60) Solubility in Different Organic Solvents
    • Ghasemi, J. B.; Salahinejad, M.; Rofouei, M., Alignment Independent 3D-QSAR Modeling of Fullerene (C60) Solubility in Different Organic Solvents. Fuller. Nanotub. Car. N., 2013, 21, 367-380.
    • (2013) Fuller. Nanotub. Car. N. , vol.21 , pp. 367-380
    • Ghasemi, J.B.1    Salahinejad, M.2    Rofouei, M.3
  • 115
    • 84942851953 scopus 로고    scopus 로고
    • 25 - Three-Dimensional Quantitative Structure-Property Relationships
    • (Second Edition), Camille, G. W., Ed. Academic Press: London
    • Cruciani, G.; Carosati, E.; Clementi, S., 25 - Three-Dimensional Quantitative Structure-Property Relationships. In The Practice of Medicinal Chemistry (Second Edition), Camille, G. W., Ed. Academic Press: London, 2003; pp 405-416.
    • (2003) In the Practice of Medicinal Chemistry , pp. 405-416
    • Cruciani, G.1    Carosati, E.2    Clementi, S.3
  • 116
    • 84882520412 scopus 로고    scopus 로고
    • Chapter 29 - 3D Quantitative Structure– Property Relationships
    • (Third Edition), Camille Georges, W., Ed. Academic Press: New York
    • Langer, T.; Bryant, S. D., Chapter 29 - 3D Quantitative Structure– Property Relationships. In The Practice of Medicinal Chemistry (Third Edition), Camille Georges, W., Ed. Academic Press: New York, 2008; pp 587-604.
    • (2008) In the Practice of Medicinal Chemistry , pp. 587-604
    • Langer, T.1    Bryant, S.D.2
  • 117
    • 0034710718 scopus 로고    scopus 로고
    • GRid-INdependent descriptors (GRIND): A novel class of alignment-independent three-dimensional molecular descriptors
    • Pastor, M.; Cruciani, G.; McLay, I.; Pickett, S.; Clementi, S., GRid-INdependent descriptors (GRIND): a novel class of alignment-independent three-dimensional molecular descriptors. J. Med. Chem., 2000, 43, 3233-3243.
    • (2000) J. Med. Chem. , vol.43 , pp. 3233-3243
    • Pastor, M.1    Cruciani, G.2    Mclay, I.3    Pickett, S.4    Clementi, S.5
  • 118
    • 0034625096 scopus 로고    scopus 로고
    • Molecular fields in quantitative structure–permeation relationships: The VolSurf approach
    • Cruciani, G.; Crivori, P.; Carrupt, P.-A.; Testa, B., Molecular fields in quantitative structure–permeation relationships: the VolSurf approach. J. Mol. Struct., 2000, 503, 17-30.
    • (2000) J. Mol. Struct. , vol.503 , pp. 17-30
    • Cruciani, G.1    Crivori, P.2    Carrupt, P.-A.3    Testa, B.4
  • 119
    • 42749093609 scopus 로고    scopus 로고
    • Variable elimination method to improve the parsimony of MLR models using the successive projections algorithm
    • Galvao, R. K. H.; Araujo, M. C. U.; Fragoso, W. D.; Silva, E. C.; Jose, G. E.; Soares, S. F. C.; Paiva, H.M. A variable elimination method to improve the parsimony of MLR models using the successive projections algorithm. Chemometr. Intell. Lab. Syst., 2008, 92, 83-91.
    • (2008) Chemometr. Intell. Lab. Syst. , vol.92 , pp. 83-91
    • Galvao, R.1    Araujo, M.2    Fragoso, W.D.3    Silva, E.C.4    Jose, G.E.5    Soares, S.6    Paiva, H.7
  • 120
    • 85002377847 scopus 로고
    • Genetic algorithms as a strategy for feature selection
    • Leardi, R.; Boggia, R.; Terrile, M., Genetic algorithms as a strategy for feature selection. J. Chemometr., 1992, 6, 267-281.
    • (1992) J. Chemometr. , vol.6 , pp. 267-281
    • Leardi, R.1    Boggia, R.2    Terrile, M.3
  • 121
    • 84255173312 scopus 로고    scopus 로고
    • Carbon nanotubes: Are they dispersed or dissolved in liquids?
    • Geckeler, K.; Premkumar, T., Carbon nanotubes: are they dispersed or dissolved in liquids? Nanoscale Res. Lett., 2011, 6, 136.
    • (2011) Nanoscale Res. Lett. , vol.6 , pp. 136
    • Geckeler, K.1    Premkumar, T.2
  • 122
    • 69549126510 scopus 로고    scopus 로고
    • Multicomponent Solubility Parameters for Single-Walled Carbon Nanotube-Solvent Mixtures
    • Bergin, S. D.; Sun, Z.; Rickard, D.; Streich, P. V.; Hamilton, J. P.; Coleman, J. N., Multicomponent Solubility Parameters for Single-Walled Carbon Nanotube-Solvent Mixtures. ACS Nano, 2009, 3, 2340-2350.
    • (2009) ACS Nano , vol.3 , pp. 2340-2350
    • Bergin, S.D.1    Sun, Z.2    Rickard, D.3    Streich, P.V.4    Hamilton, J.P.5    Coleman, J.N.6
  • 123
    • 33748551691 scopus 로고    scopus 로고
    • Debundling of single-walled nanotubes by dilution: Observation of large populations of individual nanotubes in amide solvent dispersions
    • Giordani, S.; Bergin, S. D.; Nicolosi, V.; Lebedkin, S.; Kappes, M. M.; Blau, W. J.; Coleman, J. N., Debundling of single-walled nanotubes by dilution: observation of large populations of individual nanotubes in amide solvent dispersions. J. Phys. Chem. B, 2006, 110, 15708-15718.
    • (2006) J. Phys. Chem. B , vol.110 , pp. 15708-15718
    • Giordani, S.1    Bergin, S.D.2    Nicolosi, V.3    Lebedkin, S.4    Kappes, M.M.5    Blau, W.J.6    Coleman, J.N.7
  • 124
    • 8744299257 scopus 로고    scopus 로고
    • Effects of Alkyl Amide Solvents on the Dispersion of Single-Wall Carbon Nanotubes
    • Landi, B. J.; Ruf, H. J.; Worman, J. J.; Raffaelle, R. P., Effects of Alkyl Amide Solvents on the Dispersion of Single-Wall Carbon Nanotubes. J. Phys. Chem. B, 2004, 108, 17089-17095.
    • (2004) J. Phys. Chem. B , vol.108 , pp. 17089-17095
    • Landi, B.J.1    Ruf, H.J.2    Worman, J.J.3    Raffaelle, R.P.4
  • 125
    • 17644376545 scopus 로고    scopus 로고
    • An explanation of dispersion states of single-walled carbon nanotubes in solvents and aqueous surfactant solutions using solubility parameters
    • Ham, H. T.; Choi, Y. S.; Chung, I. J., An explanation of dispersion states of single-walled carbon nanotubes in solvents and aqueous surfactant solutions using solubility parameters. J. Colloid Interface Sci., 2005, 286, 216-223.
    • (2005) J. Colloid Interface Sci. , vol.286 , pp. 216-223
    • Ham, H.T.1    Choi, Y.S.2    Chung, I.J.3
  • 127
    • 69549126510 scopus 로고    scopus 로고
    • Multicomponent solubility parameters for single-walled carbon nanotube- solvent mixtures
    • Bergin, S. D.; Sun, Z.; Rickard, D.; Streich, P. V.; Hamilton, J. P.; Coleman, J. N. Multicomponent solubility parameters for single-walled carbon nanotube- solvent mixtures. Acs Nano, 2009, 3, 2340-2350.
    • (2009) Acs Nano , vol.3 , pp. 2340-2350
    • Bergin, S.D.1    Sun, Z.2    Rickard, D.3    Streich, P.V.4    Hamilton, J.P.5    Coleman, J.N.6
  • 128
    • 61349097248 scopus 로고    scopus 로고
    • Effect of Solvent Solubility Parameters on the Dispersion of Single-Walled Carbon Nanotubes
    • Cheng, Q.; Debnath, S.; Gregan, E.; Byrne, H. J., Effect of Solvent Solubility Parameters on the Dispersion of Single-Walled Carbon Nanotubes. J. Phys. Chem. C, 2008, 112, 20154-20158.
    • (2008) J. Phys. Chem. C , vol.112 , pp. 20154-20158
    • Cheng, Q.1    Debnath, S.2    Gregan, E.3    Byrne, H.J.4
  • 130
    • 33645323491 scopus 로고    scopus 로고
    • Calculations of organic-solvent dispersions of single-wall carbon nanotubes
    • Torrens, F., Calculations of organic-solvent dispersions of single-wall carbon nanotubes. Int. J. Quantum Chem., 2006, 106, 712-718.
    • (2006) Int. J. Quantum Chem. , vol.106 , pp. 712-718
    • Torrens, F.1
  • 131
    • 34047149013 scopus 로고    scopus 로고
    • Partition of solvents and co-solvents of nanotubes: Proteins and cyclopyranoses
    • Torrens, F., Partition of solvents and co-solvents of nanotubes: proteins and cyclopyranoses. Front. Drug Des. Discovery, 2005, 1, 231-266.
    • (2005) Front. Drug Des. Discovery , vol.1 , pp. 231-266
    • Torrens, F.1
  • 132
    • 34047114442 scopus 로고    scopus 로고
    • Predicting water solubility and octanol water partition coefficient for carbon nanotubes based on the chiral vector
    • Toropov, A. A.; Leszczynska, D.; Leszczynski, J., Predicting water solubility and octanol water partition coefficient for carbon nanotubes based on the chiral vector. Comput. Bio. Chem., 2007, 31, 127-128.
    • (2007) Comput. Bio. Chem. , vol.31 , pp. 127-128
    • Toropov, A.A.1    Leszczynska, D.2    Leszczynski, J.3
  • 133
    • 77953753772 scopus 로고    scopus 로고
    • Performance of using multiple stepwise algorithms for variable selection
    • Wiegand, R. E., Performance of using multiple stepwise algorithms for variable selection. Stat. Med., 2010, 29, 1647-1659.
    • (2010) Stat. Med. , vol.29 , pp. 1647-1659
    • Wiegand, R.E.1
  • 134
    • 84892653493 scopus 로고    scopus 로고
    • QSAR studies of the dispersion of SWNTs in different organic solvents
    • Salahinejad, M.; Zolfonoun, E., QSAR studies of the dispersion of SWNTs in different organic solvents. J. Nanopart. Res., 2013, 15, 1-9.
    • (2013) J. Nanopart. Res. , vol.15 , pp. 1-9
    • Salahinejad, M.1    Zolfonoun, E.2
  • 136
    • 0001509942 scopus 로고    scopus 로고
    • Prediction of Physicochemical Parameters by Atomic Contributions
    • Wildman, S. A.; Crippen, G. M. Prediction of Physicochemical Parameters by Atomic Contributions. J. Chem. Inf. Comput. Sci., 1999, 39, 868-873.
    • (1999) J. Chem. Inf. Comput. Sci. , vol.39 , pp. 868-873
    • Wildman, S.A.1    Crippen, G.M.2
  • 138
    • 85039879159 scopus 로고    scopus 로고
    • Preparation of Graphene Dispersion: A Review
    • Wang, J., Preparation of Graphene Dispersion: A Review. Curr. Phys. Chem., 2013, 3, 255-268.
    • (2013) Curr. Phys. Chem. , vol.3 , pp. 255-268
    • Wang, J.1
  • 139
    • 77749340581 scopus 로고    scopus 로고
    • Measurement of multicomponent solubility parameters for graphene facilitates solvent discovery
    • Hernandez, Y.; Lotya, M.; Rickard, D.; Bergin, S. D.; Coleman, J. N., Measurement of multicomponent solubility parameters for graphene facilitates solvent discovery. Langmuir, 2009, 26, 3208-3213.
    • (2009) Langmuir , vol.26 , pp. 3208-3213
    • Hernandez, Y.1    Lotya, M.2    Rickard, D.3    Bergin, S.D.4    Coleman, J.N.5
  • 140
    • 84890249967 scopus 로고    scopus 로고
    • A chemometrics approach to predict the dispersibility of graphene in various liquid phases using theoretical descriptors and solvent empirical parameters
    • Yousefinejad, S.; Hemmateenejad, B., A chemometrics approach to predict the dispersibility of graphene in various liquid phases using theoretical descriptors and solvent empirical parameters. Colloids Surf. A Physicochem. Eng. Asp., 2014, 441, 766-775.
    • (2014) Colloids Surf. A Physicochem. Eng. Asp. , vol.441 , pp. 766-775
    • Yousefinejad, S.1    Hemmateenejad, B.2
  • 141
    • 58149158071 scopus 로고    scopus 로고
    • Adsorption mechanisms of organic chemicals on carbon nanotubes
    • Pan, B.; Xing, B., Adsorption mechanisms of organic chemicals on carbon nanotubes. Environ. Sci. Tech., 2008, 42, 9005-9013.
    • (2008) Environ. Sci. Tech. , vol.42 , pp. 9005-9013
    • Pan, B.1    Xing, B.2
  • 142
    • 37249018076 scopus 로고    scopus 로고
    • Adsorption of polar and nonpolar organic chemicals to carbon nanotubes
    • Chen, W.; Duan, L.; Zhu, D., Adsorption of polar and nonpolar organic chemicals to carbon nanotubes. Environ. Sci. Tech., 2007, 41, 8295-8300.
    • (2007) Environ. Sci. Tech. , vol.41 , pp. 8295-8300
    • Chen, W.1    Duan, L.2    Zhu, D.3
  • 143
    • 33645230356 scopus 로고    scopus 로고
    • Adsorption of polycyclic aromatic hydrocarbons by carbon nanomaterials
    • Yang, K.; Zhu, L.; Xing, B. Adsorption of polycyclic aromatic hydrocarbons by carbon nanomaterials. Environ. Sci. Tech., 2006, 40, 1855-1861.
    • (2006) Environ. Sci. Tech. , vol.40 , pp. 1855-1861
    • Yang, K.1    Zhu, L.2    Xing, B.3
  • 144
    • 55349096100 scopus 로고    scopus 로고
    • Aqueous adsorption of aniline, phenol, and their substitutes by multi-walled carbon nanotubes
    • Yang, K.; Wu, W.; Jing, Q.; Zhu, L., Aqueous adsorption of aniline, phenol, and their substitutes by multi-walled carbon nanotubes. Environ. Sci. Tech., 2008, 42, 7931-7936.
    • (2008) Environ. Sci. Tech. , vol.42 , pp. 7931-7936
    • Yang, K.1    Wu, W.2    Jing, Q.3    Zhu, L.4
  • 145
    • 77956423135 scopus 로고    scopus 로고
    • An index for characterization of nanomaterials in biological systems
    • Xia, X.-R.; Monteiro-Riviere, N. A.; Riviere, J. E., An index for characterization of nanomaterials in biological systems. Nat. Nanotech., 2010, 5, 671-675.
    • (2010) Nat. Nanotech. , vol.5 , pp. 671-675
    • Xia, X.-R.1    Monteiro-Riviere, N.A.2    Riviere, J.E.3
  • 146
    • 84874625187 scopus 로고    scopus 로고
    • Predictive model development for adsorption of aromatic contaminants by multi-walled carbon nanotubes
    • Apul, O. G.; Wang, Q.; Shao, T.; Rieck, J. R.; Karanfil, T., Predictive model development for adsorption of aromatic contaminants by multi-walled carbon nanotubes. Environ. Sci. Tech., 2013, 47, 2295-2303.
    • (2013) Environ. Sci. Tech. , vol.47 , pp. 2295-2303
    • Apul, O.G.1    Wang, Q.2    Shao, T.3    Rieck, J.R.4    Karanfil, T.5
  • 147
    • 84887350272 scopus 로고    scopus 로고
    • Development of a 3D QSPR model for adsorption of aromatic compounds by carbon nanotubes: Comparison of multiple linear regression, artificial neural network and support vector machine
    • Apul, O. G.; Xuan, P.; Luo, F.; Karanfil, T., Development of a 3D QSPR model for adsorption of aromatic compounds by carbon nanotubes: comparison of multiple linear regression, artificial neural network and support vector machine. RSC Adv., 2013, 3, 23924-23934.
    • (2013) RSC Adv. , vol.3 , pp. 23924-23934
    • Apul, O.G.1    Xuan, P.2    Luo, F.3    Karanfil, T.4
  • 148
    • 84893249428 scopus 로고    scopus 로고
    • Concentration-dependent polyparameter linear free energy relationships to predict organic compound sorption on carbon nanotubes
    • Zhao, Q.; Yang, K.; Li, W.; Xing, B. Concentration-dependent polyparameter linear free energy relationships to predict organic compound sorption on carbon nanotubes. Sci. Rep., 2014, 4.
    • (2014) Sci. Rep , pp. 4
    • Zhao, Q.1    Yang, K.2    Li, W.3    Xing, B.4
  • 149
    • 84909952346 scopus 로고    scopus 로고
    • Insights into the adsorption of simple benzene derivatives on carbon nanotubes
    • Liu, Y.; Zhang, J.; Chen, X.; Zheng, J.; Wang, G.; Liang, G., Insights into the adsorption of simple benzene derivatives on carbon nanotubes. RSC Adv., 2014, 4, 58036-58046.
    • (2014) RSC Adv. , vol.4 , pp. 58036-58046
    • Liu, Y.1    Zhang, J.2    Chen, X.3    Zheng, J.4    Wang, G.5    Liang, G.6
  • 150
    • 57549094015 scopus 로고    scopus 로고
    • Legitimate utilization of large descriptor pools for QSPR/QSAR models
    • Katritzky, A. R.; Dobchev, D. A.; Slavov, S.; Karelson, M. Legitimate utilization of large descriptor pools for QSPR/QSAR models. J. Chem. Inf. Model., 2008, 48, 2207-2213.
    • (2008) J. Chem. Inf. Model. , vol.48 , pp. 2207-2213
    • Katritzky, A.R.1    Dobchev, D.A.2    Slavov, S.3    Karelson, M.4
  • 151
    • 77955881874 scopus 로고    scopus 로고
    • A review of the mechanical properties of isolated carbon nanotubes and carbon nanotube composites
    • Shokrieh, M. M.; Rafiee, R., A review of the mechanical properties of isolated carbon nanotubes and carbon nanotube composites. Mech Compos Mater, 2010, 46, 155-172.
    • (2010) Mech Compos Mater , vol.46 , pp. 155-172
    • Shokrieh, M.M.1    Rafiee, R.2
  • 153
    • 84867204395 scopus 로고    scopus 로고
    • Theoretical Investigation of Relationship between Quantum Chemical Descriptors, Topological Indices, Energy and Electric Moments of Zig-zag Polyhex Carbon Nanotubes TUHC6 [2p, q] with Various Circumference [2p] and Fixed Lengths. Fuller
    • Goodarzi, M.; Mohammadinasab, E., Theoretical Investigation of Relationship between Quantum Chemical Descriptors, Topological Indices, Energy and Electric Moments of Zig-zag Polyhex Carbon Nanotubes TUHC6 [2p, q] with Various Circumference [2p] and Fixed Lengths. Fuller. Nanotub. Car. N., 2013, 21, 102-112.
    • (2013) Nanotub. Car. N. , vol.21 , pp. 102-112
    • Goodarzi, M.1    Mohammadinasab, E.2
  • 154
    • 47749115695 scopus 로고    scopus 로고
    • Quantitative relationship study of mechanical structure properties of empty fullerenes
    • Taherpour, A. Quantitative relationship study of mechanical structure properties of empty fullerenes. Fuller. Nanotub. Car. N., 2008, 16, 196-205.
    • (2008) Fuller. Nanotub. Car. N. , vol.16 , pp. 196-205
    • Taherpour, A.1
  • 155
    • 84861875314 scopus 로고    scopus 로고
    • Theoretical and Quantitative Structural Relationship Study on Fullerenes Polarizabilities on the basis of Monopole-Dipole Interactions Theorem
    • Taherpour, A.; Mahdizadeh, N. Theoretical and Quantitative Structural Relationship Study on Fullerenes Polarizabilities on the basis of Monopole-Dipole Interactions Theorem. Orient. J. Chem., 2012, 28, 247.
    • (2012) Orient. J. Chem. , vol.28 , pp. 247
    • Taherpour, A.1    Mahdizadeh, N.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.