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Volumn 15, Issue 18, 2015, Pages 1768-1779

Application of smiles notation based optimal descriptors in drug discovery and design

Author keywords

CORAL software; Drug design; Monte Carlo method; Optimal descriptor; QSAR; SMILES

Indexed keywords

1 [(2 HYDROXYETHOXY)METHYL] 6 (PHENYLTHIO)THYMINE; 1, 2, 4 BENZOTRIAZINE DERIVATIVE; 1, 4 DIHYDROPYRIDINE DERIVATIVE; BENZODIAZEPINE DERIVATIVE; BROMINE; CHLORINE; COUMARIN DERIVATIVE; FLUORINE; FULLERENE DERIVATIVE; NITROGEN; NONNUCLEOSIDE REVERSE TRANSCRIPTASE INHIBITOR; OXADIAZOLE DERIVATIVE; OXYGEN; PENICILLIN DERIVATIVE; PYRAZOLO [1, 5 A] PYRIMIDINE DERIVATIVE; SULFUR; UNCLASSIFIED DRUG;

EID: 84934757327     PISSN: 15680266     EISSN: 18734294     Source Type: Journal    
DOI: 10.2174/1568026615666150506151533     Document Type: Article
Times cited : (74)

References (64)
  • 1
    • 0036740917 scopus 로고    scopus 로고
    • Why do we need so many chemical similarity search methods? Drug Discov
    • Sheridan, R.P.; Kearsley, S.K. Why do we need so many chemical similarity search methods? Drug Discov. Today, 2002, 7(17), 903-911.
    • (2002) Today , vol.7 , Issue.17 , pp. 903-911
    • Sheridan, R.P.1    Kearsley, S.K.2
  • 2
    • 77956964002 scopus 로고    scopus 로고
    • Best Practices for QSAR model development, valida- tion, and exploitation
    • Tropsha, A. Best Practices for QSAR model development, valida- tion, and exploitation. Mol. Inf., 2010, 29(6-7), 476-488,
    • (2010) Mol. Inf , vol.29 , Issue.6-7 , pp. 476-488
    • Tropsha, A.1
  • 3
    • 36949022890 scopus 로고    scopus 로고
    • Predictive QSAR modeling workflow, model applicability domains, and virtual screening
    • Tropsha, A.; Golbraikh, A. Predictive QSAR modeling workflow, model applicability domains, and virtual screening. Curr. Pharm. Des., 2007, 13(34), 3494-3504.
    • (2007) Curr. Pharm. Des. , vol.13 , Issue.34 , pp. 3494-3504
    • Tropsha, A.1    Golbraikh, A.2
  • 4
    • 33645923096 scopus 로고    scopus 로고
    • Computational methods in developing quantitative structure-activity relationships (QSAR): A review
    • Dudek, A.Z.; Arodz, T.; Gálvez, J. Computational methods in developing quantitative structure-activity relationships (QSAR): A review. Comb. Chem. High T. Scr., 2006, 9(3) 213-228.
    • (2006) Comb. Chem. High T. Scr. , vol.9 , Issue.3 , pp. 213-228
    • Dudek, A.Z.1    Arodz, T.2    Gálvez, J.3
  • 5
    • 77956964002 scopus 로고    scopus 로고
    • Best practices for QSAR model development, valida- tion, and exploitation
    • Tropsha, A. Best practices for QSAR model development, valida- tion, and exploitation. Mol. Inform., 2010, 29(6-7), 476-488.
    • (2010) Mol. Inform. , vol.29 , Issue.6-7 , pp. 476-488
    • Tropsha, A.1
  • 6
    • 84876726475 scopus 로고    scopus 로고
    • QSAR study for carcinogenicity in a large set of organic compounds
    • Duchowicz, P.R.; Comelli, N.C.; Ortiz, E.V.; Castro, E.A. QSAR study for carcinogenicity in a large set of organic compounds. Curr. Drug Saf., 2012, 7(4) 282-288.
    • (2012) Curr. Drug Saf. , vol.7 , Issue.4 , pp. 282-288
    • Duchowicz, P.R.1    Comelli, N.C.2    Ortiz, E.V.3    Castro, E.A.4
  • 8
    • 0035353648 scopus 로고    scopus 로고
    • New descriptor for structure-property and structure-activity correlations
    • Randic, M.; Basak, S.C. New descriptor for structure-property and structure-activity correlations, J. Chem. Inf. Comput. Sci., 2010, 41(3), 650-656.
    • (2010) J. Chem. Inf. Comput. Sci. , vol.41 , Issue.3 , pp. 650-656
    • Randic, M.1    Basak, S.C.2
  • 9
    • 0035353664 scopus 로고    scopus 로고
    • The variable connectivity index 1Xf versus the traditional molecular descriptors: A comparative study of 1Xf against descriptors of CODESSA
    • Randic, M.; Pompe, M. The variable connectivity index 1Xf versus the traditional molecular descriptors: A comparative study of 1Xf against descriptors of CODESSA. J. Chem. Inf. Comput. Sci., 2011, 41(3), 631-638.
    • (2011) J. Chem. Inf. Comput. Sci. , vol.41 , Issue.3 , pp. 631-638
    • Randic, M.1    Pompe, M.2
  • 11
    • 0001334151 scopus 로고    scopus 로고
    • QSAR comparative study of wiener descriptors for weighted molecular graphs
    • Ivanciuc, O. QSAR comparative study of wiener descriptors for weighted molecular graphs. J. Chem. Inf. Comput. Sci., 2000, 40(6), 1412-1422.
    • (2000) J. Chem. Inf. Comput. Sci. , vol.40 , Issue.6 , pp. 1412-1422
    • Ivanciuc, O.1
  • 12
    • 84888025120 scopus 로고    scopus 로고
    • Chemical graphs, molecular matrices and topological indices in chemoinformatics and quantitative structure–activity relationships
    • Ivanciuc, O. Chemical graphs, molecular matrices and topological indices in chemoinformatics and quantitative structure–activity relationships. Curr. Comput. Aided Drug Des., 2013, 9(2), 153-163.
    • (2013) Curr. Comput. Aided Drug Des. , vol.9 , Issue.2 , pp. 153-163
    • Ivanciuc, O.1
  • 13
    • 0023965741 scopus 로고
    • SMILES, a chemical language and information system. 1. Introduction to methodology and encoding rules
    • Weininger, D. SMILES, a chemical language and information system. 1. Introduction to methodology and encoding rules. J. Chem. Inf. Comput. Sci., 1988, 28(1), 31-36.
    • (1988) J. Chem. Inf. Comput. Sci , vol.28 , Issue.1 , pp. 31-36
    • Weininger, D.1
  • 15
    • 0000144425 scopus 로고
    • SMILES. 3. Depict. Graphical depiction of chemical structures
    • Weininger, D. (1990) SMILES. 3. Depict. Graphical depiction of chemical structures. J. Chem. Inf. Comput. Sci., 1990, 30(3), 237–243.
    • (1990) J. Chem. Inf. Comput. Sci , vol.30 , Issue.3 , pp. 237-243
    • Weininger, D.1
  • 16
    • 34548442080 scopus 로고    scopus 로고
    • SMILES in QSPR/QSAR modeling: Results and perspectives
    • Toropov, A.A.; Benfenati, E. SMILES in QSPR/QSAR modeling: results and perspectives. Curr. Drug Discov. Technol., 2007, 4(2), 77-116.
    • (2007) Curr. Drug Discov. Technol. , vol.4 , Issue.2 , pp. 77-116
    • Toropov, A.A.1    Benfenati, E.2
  • 17
    • 33846861802 scopus 로고    scopus 로고
    • SMILES as an alternative to the graph in QSAR modelling of bee toxicity
    • Toropov A.A.; Benfenati, E. SMILES as an alternative to the graph in QSAR modelling of bee toxicity. Comput Biol. Chem., 2007, 31(1), 57-60.
    • (2007) Comput Biol. Chem. , vol.31 , Issue.1 , pp. 57-60
    • Toropov, A.A.1    Benfenati, E.2
  • 18
    • 84872029419 scopus 로고    scopus 로고
    • QSAR modeling of endpoints for peptides which is based on representation of the molecular structure by a sequence of amino acids
    • Toropov, A.A.; Toropova, A.P.; Raska Jr, I., Benfenati, E., Gini, G. (2012) QSAR modeling of endpoints for peptides which is based on representation of the molecular structure by a sequence of amino acids. Struct. Chem., 2012, 23(6), 1891-1904.
    • (2012) Struct. Chem. , vol.23 , Issue.6 , pp. 1891-1904
    • Toropov, A.A.1    Toropova, A.P.2    Raska, I.3    Benfenati, E.4    Gini, G.5
  • 19
    • 80055118671 scopus 로고    scopus 로고
    • SMILES-based QSAR approaches for car-cinogenicity and anticancer activity: Comparison of correlation weights for identical SMILES attributes
    • Toropov, A.A.; Toropova, A.P.; Benfenati, E.; Gini, G; Leszczyn-ska, D.; Leszczynski, J. SMILES-based QSAR approaches for car-cinogenicity and anticancer activity: comparison of correlation weights for identical SMILES attributes. Anticancer Agents Med. Chem., 2011, 11(10), 974-982.
    • (2011) Anticancer Agents Med. Chem. , vol.11 , Issue.10 , pp. 974-982
    • Toropov, A.A.1    Toropova, A.P.2    Benfenati, E.3    Gini, G.4    Leszczyn-Ska, D.5    Leszczynski, J.6
  • 20
    • 84872580195 scopus 로고    scopus 로고
    • SMILES-based QSAR model for arylpiperazines as high-affinity 5-HT1A receptor ligands using CORAL
    • Veselinović, A.M.; Milosavljević, J.B.; Toropov, A.A.; Nikolić, G.M. SMILES-based QSAR model for arylpiperazines as high-affinity 5-HT1A receptor ligands using CORAL. Eur. J. Pharm. Sci., 2013, 48(3), 532-541.
    • (2013) Eur. J. Pharm. Sci. , vol.48 , Issue.3 , pp. 532-541
    • Veselinović, A.M.1    Milosavljević, J.B.2    Toropov, A.A.3    Nikolić, G.M.4
  • 21
    • 84863981347 scopus 로고    scopus 로고
    • Coral: QSPR Modeling of Rate Constants of Reactions Between Organic Aromatic Pollutants and Hydroxyl Radical
    • Toropov, A.A.; Toropova, A.P.; Rasulev, B.F.; Benfenati, E.; Gini, G.; Leszczynska, D.; Leszczynski, J. Coral: QSPR Modeling of Rate Constants of Reactions Between Organic Aromatic Pollutants and Hydroxyl Radical. J. Comput. Chem., 2012, 33(23), 1902-1906.
    • (2012) J. Comput. Chem. , vol.33 , Issue.23 , pp. 1902-1906
    • Toropov, A.A.1    Toropova, A.P.2    Rasulev, B.F.3    Benfenati, E.4    Gini, G.5    Leszczynska, D.6    Leszczynski, J.7
  • 22
    • 79959742537 scopus 로고    scopus 로고
    • CORAL: Quantitative structure-activity relationship models for estimating toxicity of organic compounds in rats
    • Toropova, A.P.; Toropov, A.A.; Benfenati, E.; Gini, G.; Leszczyn-ska, D.; Leszczynski, J. CORAL: Quantitative structure-activity relationship models for estimating toxicity of organic compounds in rats. J. Comput. Chem., 2011, 32(12), 2727-2733.
    • (2011) J. Comput. Chem. , vol.32 , Issue.12 , pp. 2727-2733
    • Toropova, A.P.1    Toropov, A.A.2    Benfenati, E.3    Gini, G.4    Leszczyn-Ska, D.5    Leszczynski, J.6
  • 24
    • 37349048522 scopus 로고    scopus 로고
    • On some aspects of validation of predictive quantitative structure activity relationship models. Expert. Opin
    • Roy, K. On some aspects of validation of predictive quantitative structure activity relationship models. Expert. Opin. Drug Dis., 2007, 2(12), 1567-1577.
    • (2007) Drug Dis. , vol.2 , Issue.12 , pp. 1567-1577
    • Roy, K.1
  • 25
    • 36749045167 scopus 로고    scopus 로고
    • Exploring the impact of the size of training sets for the development of predictive QSAR models
    • Roy, P.P.; Leonard, J.T.; Roy, K. Exploring the impact of the size of training sets for the development of predictive QSAR models. Chemom. Intell. Lab. Syst., 2008, 90(1), 31-42.
    • (2008) Chemom. Intell. Lab. Syst. , vol.90 , Issue.1 , pp. 31-42
    • Roy, P.P.1    Leonard, J.T.2    Roy, K.3
  • 27
    • 61849085398 scopus 로고    scopus 로고
    • QSAR studies of CYP2D6 inhibitor ary-loxypropanolamines using 2D and 3D descriptors
    • Roy, P.P.; Roy, K. QSAR studies of CYP2D6 inhibitor ary-loxypropanolamines using 2D and 3D descriptors. Chem. Biol. Drug Des., 2009, 73(4) 442-455.
    • (2009) Chem. Biol. Drug Des. , vol.73 , Issue.4 , pp. 442-455
    • Roy, P.P.1    Roy, K.2
  • 28
    • 79955650139 scopus 로고    scopus 로고
    • Further exploring rm2 metrics for validation of QSPR models. Chemometr
    • Ojha, P.K.; Mitra, I.; Das, R.N.; Roy, K. Further exploring rm2 metrics for validation of QSPR models. Chemometr. Intell. Lab. Syst., 2011, 107(1), 194-205.
    • (2011) Intell. Lab. Syst. , vol.107 , Issue.1 , pp. 194-205
    • Ojha, P.K.1    Mitra, I.2    Das, R.N.3    Roy, K.4
  • 29
    • 80055096902 scopus 로고    scopus 로고
    • Comparative QSARs for antimalarial endo-chins: Importance of descriptor-thinning and noise reduction prior to feature selection
    • Ojha, P.K.; Roy, K. Comparative QSARs for antimalarial endo-chins: importance of descriptor-thinning and noise reduction prior to feature selection. Chemometr. Intell. Lab. Syst., 2011, 109(2), 146-161.
    • (2011) Chemometr. Intell. Lab. Syst. , vol.109 , Issue.2 , pp. 146-161
    • Ojha, P.K.1    Roy, K.2
  • 30
    • 42749092988 scopus 로고    scopus 로고
    • The importance of the domain of applicability in QSAR modeling
    • Weaver, S.; Gleeson, M.P. The importance of the domain of applicability in QSAR modeling. J. Mol. Graph. Model., 2008, 26(8), 1315-1326.
    • (2008) J. Mol. Graph. Model. , vol.26 , Issue.8 , pp. 1315-1326
    • Weaver, S.1    Gleeson, M.P.2
  • 31
    • 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(5), 694-701.
    • (2007) QSAR Comb. Sci. , vol.26 , Issue.5 , pp. 694-701
    • Gramatica, P.1
  • 32
    • 43049147993 scopus 로고    scopus 로고
    • Additive SMILES-based optimal descriptors in QSAR modelling bee toxicity: Using rare SMILES attributes to define the applicability domain
    • Toropov, A.A.; Benfenati, E. Additive SMILES-based optimal descriptors in QSAR modelling bee toxicity: Using rare SMILES attributes to define the applicability domain. Bioorg. Med. Chem., 2008, 16(9), 4801-4809.
    • (2008) Bioorg. Med. Chem. , vol.16 , Issue.9 , pp. 4801-4809
    • Toropov, A.A.1    Benfenati, E.2
  • 33
    • 79952280908 scopus 로고    scopus 로고
    • CORAL: Building up the model for biocon-centration factor and defining it's applicability domain
    • Toropov, A.A.; Toropova, A.P.; Lombardo, A.; Roncaglioni, A.; Benfenati, E.; Gini, G. CORAL: building up the model for biocon-centration factor and defining it's applicability domain. Eur. J. Med. Chem., 2011, 46(4), 1400-1403.
    • (2011) Eur. J. Med. Chem. , vol.46 , Issue.4 , pp. 1400-1403
    • Toropov, A.A.1    Toropova, A.P.2    Lombardo, A.3    Roncaglioni, A.4    Benfenati, E.5    Gini, G.6
  • 35
    • 84934754969 scopus 로고    scopus 로고
    • OECD, accessed on 15 January 2014
    • OECD. 2007 Quantitative Structure-Activity Relationships Project [(Q)SARs]. Available online http://search.oecd.org/ officialdocu-ments/displaydocumentpdf/?doclanguage=en&cote=env/jm/mono(2007)2 (accessed on 15 January 2014).
    • (2007) 2007 Quantitative Structure-Activity Relationships Project [(Q)Sars , pp. 2
  • 36
    • 76149114231 scopus 로고    scopus 로고
    • SMILES-based optimal descriptors: QSAR analysis of fullerene-based HIV-1 PR inhibitors by means of balance of correlations
    • Toropov, A.A.; Toropova, A.P.; Benfenati, E.; Leszczynska, D.; Leszczynski, J. SMILES-based optimal descriptors: QSAR analysis of fullerene-based HIV-1 PR inhibitors by means of balance of correlations. J. Comput. Chem., 2010, 31(2), 381-392.
    • (2010) J. Comput. Chem. , vol.31 , Issue.2 , pp. 381-392
    • Toropov, A.A.1    Toropova, A.P.2    Benfenati, E.3    Leszczynska, D.4    Leszczynski, J.5
  • 37
    • 79954612735 scopus 로고    scopus 로고
    • Simplified Molecular Input-Line Entry System and International Chemical Identifier in the QSAR Analysis of Styrylquinoline Derivatives as HIV-1 Integrase Inhibitors
    • Toropova, A.P.; Toropov, A.A.; Benfenati, E.; Gini, G. Simplified Molecular Input-Line Entry System and International Chemical Identifier in the QSAR Analysis of Styrylquinoline Derivatives as HIV-1 Integrase Inhibitors. Chem. Biol. Drug Des., 2011, 77(5), 343-360.
    • (2011) Chem. Biol. Drug Des. , vol.77 , Issue.5 , pp. 343-360
    • Toropova, A.P.1    Toropov, A.A.2    Benfenati, E.3    Gini, G.4
  • 38
    • 84873357336 scopus 로고    scopus 로고
    • Development of QSAR models for predicting anti-HIV-1 activity using the Monte Carlo method. Cent
    • Toropov, A.A.; Toropova, A.P.; Raska Jr. I.; Benfenati, E.; Gini, G. Development of QSAR models for predicting anti-HIV-1 activity using the Monte Carlo method. Cent. Eur. J. Chem., 2013, 11(3), 371-380
    • (2013) Eur. J. Chem. , vol.11 , Issue.3 , pp. 371-380
    • Toropov, A.A.1    Toropova, A.P.2    Raska, I.3    Benfenati, E.4    Gini, G.5
  • 39
    • 84920749320 scopus 로고    scopus 로고
    • Monte Carlo Method Based QSAR Modeling of Coumarin Derivates as Potent HIV-1 Integrase Inhibitors and Molecular Docking Studies of Selected 4-phenyl Hy-droxycoumarins
    • Veselinović, J.; Veselinović, A.; Toropov, A.; Toropova, A.; Damnjanović, I.; Nikolić, G. Monte Carlo Method Based QSAR Modeling of Coumarin Derivates as Potent HIV-1 Integrase Inhibitors and Molecular Docking Studies of Selected 4-phenyl Hy-droxycoumarins. Acta. Fac. Med. Naiss., 2014. 31(2): 95-103.
    • (2014) Acta. Fac. Med. Naiss. , vol.31 , Issue.2 , pp. 95-103
    • Veselinović, J.1    Veselinović, A.2    Toropov, A.3    Toropova, A.4    Damnjanović, I.5    Nikolić, G.6
  • 40
    • 84897417413 scopus 로고    scopus 로고
    • Combined molecular docking, molecular dynamics simulation and quantitative structure-activity relationship study of pyrimido[1,2-c][1,3]benzothiazin-6-imine derivatives as potent anti-HIV drugs
    • Deng, F.; Xie, M.; Zhang, X.; Li, P.; Tian, Y.; Zhai, H.; Li, Y. Combined molecular docking, molecular dynamics simulation and quantitative structure-activity relationship study of pyrimido[1,2-c][1,3]benzothiazin-6-imine derivatives as potent anti-HIV drugs. J. Mol. Struct., 2014, 1067(1), 1-13
    • (2014) J. Mol. Struct. , vol.1067 , Issue.1 , pp. 1-13
    • Deng, F.1    Xie, M.2    Zhang, X.3    Li, P.4    Tian, Y.5    Zhai, H.6    Li, Y.7
  • 41
    • 84880753972 scopus 로고    scopus 로고
    • The definition of the molecular structure for potential anti-malaria agents by the Monte Carlo method
    • Toropov, A.A.; Toropova, A.P.; Benfenati, E.; Gini, G.; Fanelli, R. The definition of the molecular structure for potential anti-malaria agents by the Monte Carlo method. Struct. Chem., 2013, 24(4), 1369-1381.
    • (2013) Struct. Chem. , vol.24 , Issue.4 , pp. 1369-1381
    • Toropov, A.A.1    Toropova, A.P.2    Benfenati, E.3    Gini, G.4    Fanelli, R.5
  • 46
    • 84908574742 scopus 로고    scopus 로고
    • QSAR model based on SMILES of inhibitory rate of 2, 3-diarylpropenoic acids on AKR1C3
    • Li, Q.; Ding, X.; Si, H.; Gao, H. QSAR model based on SMILES of inhibitory rate of 2, 3-diarylpropenoic acids on AKR1C3. Chemometr. Intell. Lab. Syst., 2014, 139, 132-138.
    • (2014) Chemometr. Intell. Lab. Syst. , vol.139 , pp. 132-138
    • Li, Q.1    Ding, X.2    Si, H.3    Gao, H.4
  • 47
    • 84892852642 scopus 로고    scopus 로고
    • Study on the antagonists for the orphan G protein-coupled receptor GPR55 by quantitative structure-activity relationship
    • Deng, F.-F.; Xie, M.-H.; Li, P.-Z.; Tian, Y.-L.; Zhang, X.-Y.; Zhai, H.-L. Study on the antagonists for the orphan G protein-coupled receptor GPR55 by quantitative structure-activity relationship. Chemometr. Intell. Lab. Syst., 2014, 131, 51-60.
    • (2014) Chemometr. Intell. Lab. Syst. , vol.131 , pp. 51-60
    • Deng, F.-F.1    Xie, M.-H.2    Li, P.-Z.3    Tian, Y.-L.4    Zhang, X.-Y.5    Zhai, H.-L.6
  • 48
    • 84894046901 scopus 로고    scopus 로고
    • Docking and quantitative structure-activity relationship of oxadiazole derivates as inhibitors of GSK3β
    • Quesada-Romero, L.; Caballero, J. Docking and quantitative structure-activity relationship of oxadiazole derivates as inhibitors of GSK3β. Mol. Divers., 2014, 18(1), 149-159.
    • (2014) Mol. Divers. , vol.18 , Issue.1 , pp. 149-159
    • Quesada-Romero, L.1    Caballero, J.2
  • 49
    • 84896699257 scopus 로고    scopus 로고
    • Simplified molecular input line entry system-based optimal descriptors: QSAR modelling for voltage-gated potassium channel subunit Kv7.2
    • Achary, P.G. Simplified molecular input line entry system-based optimal descriptors: QSAR modelling for voltage-gated potassium channel subunit Kv7.2. SAR QSAR Environ. Res., 2014, 25(1), 73-90.
    • (2014) SAR QSAR Environ. Res. , vol.25 , Issue.1 , pp. 73-90
    • Achary, P.G.1
  • 51
    • 84903787194 scopus 로고    scopus 로고
    • Study on the agonists for the human Toll-like receptor-8 by molecular modeling
    • Deng, F.; Ma, S.; Xie, M.; Zhang, X.; Li, P.; Zhai, H. Study on the agonists for the human Toll-like receptor-8 by molecular modeling. Mol. Biosyst., 2014, 10(8), 2202-2214.
    • (2014) Mol. Biosyst. , vol.10 , Issue.8 , pp. 2202-2214
    • Deng, F.1    Ma, S.2    Xie, M.3    Zhang, X.4    Li, P.5    Zhai, H.6
  • 53
    • 84873716367 scopus 로고    scopus 로고
    • SMILES-Based QSAR models for the calcium channel-antagonistic effect of 1,4-dihydropyridines
    • Veselinović, A.M.; Milosavljević, J.B.; Toropov, A.A.; Nikolić, G.M. SMILES-Based QSAR models for the calcium channel-antagonistic effect of 1,4-dihydropyridines. Arch. Pharm., 2013, 346(2), 134-139.
    • (2013) Arch. Pharm. , vol.346 , Issue.2 , pp. 134-139
    • Veselinović, A.M.1    Milosavljević, J.B.2    Toropov, A.A.3    Nikolić, G.M.4
  • 55
    • 77952957906 scopus 로고    scopus 로고
    • QSAR analysis of 1,4-dihydro-4-oxo-1-(2-thiazolyl)-1,8-naphthyridines exhibiting anticancer activity by optimal SMILES-based descriptors
    • Toropov, A.A.; Toropova, A.P.; Benfenati, E.; Leszczynska, D.; Leszczynski, J. QSAR analysis of 1,4-dihydro-4-oxo-1-(2-thiazolyl)-1,8-naphthyridines exhibiting anticancer activity by optimal SMILES-based descriptors. J. Math. Chem., 2010, 47(2), 647-666.
    • (2010) J. Math. Chem. , vol.47 , Issue.2 , pp. 647-666
    • Toropov, A.A.1    Toropova, A.P.2    Benfenati, E.3    Leszczynska, D.4    Leszczynski, J.5
  • 56
    • 34250615587 scopus 로고    scopus 로고
    • QSAR modeling of peripheral versus central benzodiazepine receptor binding affinity of 2-phenylimidazo [1,2-a]pyridineacetamides using optimal descriptors calculated with SMILES
    • Roy, K.; Toropov, A.; Raska, I. QSAR modeling of peripheral versus central benzodiazepine receptor binding affinity of 2-phenylimidazo [1,2-a]pyridineacetamides using optimal descriptors calculated with SMILES. QSAR Comb. Sci., 2007, 26(4), 460-468.
    • (2007) QSAR Comb. Sci. , vol.26 , Issue.4 , pp. 460-468
    • Roy, K.1    Toropov, A.2    Raska, I.3
  • 57
    • 84862688225 scopus 로고    scopus 로고
    • SMILES-based optimal descriptors: QSAR modeling of estrogen receptor binding affinity by correlation balance
    • Toropov, A.A.; Toropova, A.P.; Diaza, R.G.; Benfenati, E.; Gini, G. SMILES-based optimal descriptors: QSAR modeling of estrogen receptor binding affinity by correlation balance. Struct. Chem., 2012, 23(2), 2012, 529-544.
    • (2012) Struct. Chem., 2012 , vol.23 , Issue.2 , pp. 529-544
    • Toropov, A.A.1    Toropova, A.P.2    Diaza, R.G.3    Benfenati, E.4    Gini, G.5
  • 60
    • 84934763921 scopus 로고    scopus 로고
    • QSAR Models for the Reactivation of Sarin Inhibited AChE by Quaternary Pyridinium Oximes Based on Monte Carlo Method
    • Veselinović, A.M.; Veselinović, J.B.; Toropov, A.A.; Toropova, A.P.; Nikolić, G.M. QSAR Models for the Reactivation of Sarin Inhibited AChE by Quaternary Pyridinium Oximes Based on Monte Carlo Method. Curr. Comput. Aided. Drug Des., 2014, 10(3), 266-273.
    • (2014) Curr. Comput. Aided. Drug Des. , vol.10 , Issue.3 , pp. 266-273
    • Veselinović, A.M.1    Veselinović, J.B.2    Toropov, A.A.3    Toropova, A.P.4    Nikolić, G.M.5
  • 61
    • 0031085412 scopus 로고    scopus 로고
    • QSAR Based on Multiple Linear Regression and PLS Methods for the Anti-HIV Activity of a Large Group of HEPT Derivatives
    • Luco, J.M.; Ferretti, F.H. QSAR Based on Multiple Linear Regression and PLS Methods for the Anti-HIV Activity of a Large Group of HEPT Derivatives. J. Chem. Inf. Comput. Sci., 1997, 37(2), 392-401.
    • (1997) J. Chem. Inf. Comput. Sci. , vol.37 , Issue.2 , pp. 392-401
    • Luco, J.M.1    Ferretti, F.H.2
  • 62
    • 79957827303 scopus 로고    scopus 로고
    • Quantitative bioac-tivity prediction and pharmacophore identification for benzotriaz-ine derivatives using the electron conformational-genetic algorithm in QSAR
    • Şahin, K.; Saripinar, E.; Yanmaz, E.; Geçen, N. Quantitative bioac-tivity prediction and pharmacophore identification for benzotriaz-ine derivatives using the electron conformational-genetic algorithm in QSAR. SAR QSAR Environ. Res., 2011, 22(3-4), 217-238.
    • (2011) SAR QSAR Environ. Res. , vol.22 , Issue.3-4 , pp. 217-238
    • Şahin, K.1    Saripinar, E.2    Yanmaz, E.3    Geçen, N.4
  • 63
    • 84864669924 scopus 로고    scopus 로고
    • 4D-QSAR study of HEPT derivatives by electron conformational-genetic algorithm method
    • Akyüz, L.; Saripinar, E.; Kaya, E.; Yanmaz, E. 4D-QSAR study of HEPT derivatives by electron conformational-genetic algorithm method. SAR QSAR Environ. Res., 2012, 23(5-6), 409-433.
    • (2012) SAR QSAR Environ. Res. , vol.23 , Issue.5-6 , pp. 409-433
    • Akyüz, L.1    Saripinar, E.2    Kaya, E.3    Yanmaz, E.4
  • 64
    • 79953204913 scopus 로고    scopus 로고
    • 4D-QSAR analysis and pharmacophore modeling: Electron conforma-tional- genetic algorithm approach for penicillins
    • Yanmaz, E.; Saripinar, E.; Şahin, K.; Geçen, N.; Çopur, F. 4D-QSAR analysis and pharmacophore modeling: Electron conforma-tional- genetic algorithm approach for penicillins. Bioorg. Med. Chem., 2011, 19(7), 2199-2210.
    • (2011) Bioorg. Med. Chem. , vol.19 , Issue.7 , pp. 2199-2210
    • Yanmaz, E.1    Saripinar, E.2    Şahin, K.3    Geçen, N.4    Çopur, F.5


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