-
1
-
-
84879555223
-
A comparative study of submicron particle sizing platforms: Accuracy, precision and resolution analysis of polydisperse particle size distributions
-
Anderson W, Kozak D, Coleman VA, Jämting A K, Trau M. 2013. A comparative study of submicron particle sizing platforms: Accuracy, precision and resolution analysis of polydisperse particle size distributions. J Colloid Interface Sci 405:322-30.
-
(2013)
J Colloid Interface Sci
, vol.405
, pp. 322-330
-
-
Anderson, W.1
Kozak, D.2
Coleman, V.A.3
Jämting, A.K.4
Trau, M.5
-
2
-
-
84877293087
-
Nanoparticle dispersity in toxicology
-
Baalousha M, Lead JR. 2013. Nanoparticle dispersity in toxicology. Nat Nanotechnol 8:308-9.
-
(2013)
Nat Nanotechnol
, vol.8
, pp. 308-309
-
-
Baalousha, M.1
Lead, J.R.2
-
4
-
-
40949110149
-
Predictivity and reliability of QSAR models: The case of mutagens and carcinogens
-
Benigni R, Bossa C. 2008. Predictivity and reliability of QSAR models: the case of mutagens and carcinogens. Toxicol Mech Methods 18: 137-47.
-
(2008)
Toxicol Mech Methods
, vol.18
, pp. 137-147
-
-
Benigni, R.1
Bossa, C.2
-
5
-
-
33847767499
-
The expanding role of predictive toxicology: An update on the (Q) sar models for mutagens and carcinogens
-
Benigni R, Netzeva TI, Benfenati E, Bossa C, Franke R, Helma C, et al. 2007. The expanding role of predictive toxicology: An update on the (Q) sar models for mutagens and carcinogens. J Env Sci Health C 25: 53-97.
-
(2007)
J Env Sci Health C
, vol.25
, pp. 53-97
-
-
Benigni, R.1
Netzeva, T.I.2
Benfenati, E.3
Bossa, C.4
Franke, R.5
Helma, C.6
-
6
-
-
72149125305
-
Assessing the reproductive toxicity of some (Con) azole compounds using a structure-activity relationship approach
-
Bolcic-Tavcar M, Vracko M. 2009. Assessing the reproductive toxicity of some (Con) azole compounds using a structure-activity relationship approach. Sar QSAR Environ Res 20:7-8.
-
(2009)
Sar QSAR Environ Res
, vol.20
, pp. 7-8
-
-
Bolcic-Tavcar, M.1
Vracko, M.2
-
7
-
-
84876583401
-
Developing descriptors to predict mechanical properties of nanotubes
-
Borders TL, Fonseca AF, Zhang H, Cho K, Rusinko Iii A. 2013. Developing descriptors to predict mechanical properties of nanotubes. J Chem Inf Model 53:773-82.
-
(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, A.5
-
9
-
-
79957797236
-
A theoretical framework for predicting the oxidative stress potential of oxide nanoparticles
-
Burello E, Worth AP. 2011b. A theoretical framework for predicting the oxidative stress potential of oxide nanoparticles. Nanotoxicology 5: 228-35.
-
(2011)
Nanotoxicology
, vol.5
, pp. 228-235
-
-
Burello, E.1
Worth, A.P.2
-
11
-
-
84937924205
-
PCA-Based representations of graphs for prediction in QSAR studies
-
Berlin, Heidelberg, Germany: Springer
-
Cardin R, Michielan L, Moro S, Sperduti A. 2009. PCA-Based Representations of Graphs for Prediction in QSAR Studies. Artificial Neural Networks-Icann 2009. Berlin, Heidelberg, Germany: Springer.
-
(2009)
Artificial Neural Networks-Icann 2009
-
-
Cardin, R.1
Michielan, L.2
Moro, S.3
Sperduti, A.4
-
12
-
-
84878140376
-
Daphnia and fish toxicity of (benzo) triazoles: Validated qsar models, and interspecies quantitative activity-activity modelling
-
Cassani S, Kovarich S, Papa E, Roy PP, Van Der Wal L, Gramatica P. 2013. Daphnia and fish toxicity of (benzo) triazoles: validated qsar models, and interspecies quantitative activity-activity modelling. J Hazard Mater 258-259:50-60.
-
(2013)
J Hazard Mater 258
, vol.259
, pp. 50-60
-
-
Cassani, S.1
Kovarich, S.2
Papa, E.3
Roy, P.P.4
Van Der Wal, L.5
Gramatica, P.6
-
13
-
-
84865741803
-
Quantitative nanostructure-activity relationship modelling of nanoparticles
-
Chau YT, Yap CW. 2012. Quantitative nanostructure-activity relationship modelling of nanoparticles. Rsc Adv 2:8489-96.
-
(2012)
Rsc Adv
, vol.2
, pp. 8489-8496
-
-
Chau, Y.T.1
Yap, C.W.2
-
14
-
-
80053295024
-
Real external predictivity of qsar models: How to evaluate it comparison of different validation criteria and proposal of using the concordance correlation coefficient
-
Chirico N, Gramatica P. 2011. Real external predictivity of qsar models: how to evaluate it comparison of different validation criteria and proposal of using the concordance correlation coefficient. J Chem Inform Model 51:2320-35.
-
(2011)
J Chem Inform Model
, vol.51
, pp. 2320-2335
-
-
Chirico, N.1
Gramatica, P.2
-
15
-
-
0003302467
-
Use of QSARS in international decision-making frameworks to predict health effects of chemical substances
-
Cronin MT, Jaworska JS, Walker JD, Comber MH, Watts CD, Worth AP. 2003a. Use of QSARS in international decision-making frameworks to predict health effects of chemical substances. Environ Health Perspect 111:1391.
-
(2003)
Environ Health Perspect
, vol.111
, pp. 1391
-
-
Cronin, M.T.1
Jaworska, J.S.2
Walker, J.D.3
Comber, M.H.4
Watts, C.D.5
Worth, A.P.6
-
16
-
-
0012959393
-
Use of QSARS in international decision-making frameworks to predict ecologic effects and environmental fate of chemical substances
-
Cronin MT, Walker JD, Jaworska JS, Comber MH, Watts CD, Worth AP. 2003b. Use of QSARS in international decision-making frameworks to predict ecologic effects and environmental fate of chemical substances. Environ Health Perspect 111:1376.
-
(2003)
Environ Health Perspect
, vol.111
, pp. 1376
-
-
Cronin, M.T.1
Walker, J.D.2
Jaworska, J.S.3
Comber, M.H.4
Watts, C.D.5
Worth, A.P.6
-
17
-
-
33645923096
-
Computational methods in developing quantitative structure-activity relationships (QSAR): A review
-
Dudek AZ, Arodz T, Galvez J. 2006. Computational methods in developing quantitative structure-activity relationships (QSAR): A review. Comb Chem High Throughput Screen 9:213-28.
-
(2006)
Comb Chem High Throughput Screen
, vol.9
, pp. 213-228
-
-
Dudek, A.Z.1
Arodz, T.2
Galvez, J.3
-
18
-
-
34447503921
-
Glossary of terms used in toxicology, (IUPAC recommendations 2007)
-
Duffus JH, Nordberg M, Templeton DM. 2007. Glossary of terms used in toxicology, (IUPAC recommendations 2007). Pure Appl Chem 79: 1153-344.
-
(2007)
Pure Appl Chem
, vol.79
, pp. 1153-1344
-
-
Duffus, J.H.1
Nordberg, M.2
Templeton, D.M.3
-
19
-
-
84869164498
-
Modeling biological activities of nanoparticles
-
Epa VC, Burden FR, Tassa C, Weissleder R, Shaw S, Winkler DA. 2012. Modeling biological activities of nanoparticles. Nano Lett 12:5808-12.
-
(2012)
Nano Lett
, vol.12
, pp. 5808-5812
-
-
Epa, V.C.1
Burden, F.R.2
Tassa, C.3
Weissleder, R.4
Shaw, S.5
Winkler, D.A.6
-
20
-
-
33746256595
-
Megavariate analysis of environmental qsar data. Part I-A basic framework founded on principal component analysis (PCA), partial least squares (PLS), and statistical molecular design (SMD)
-
Eriksson L, Andersson PL, Johansson E, Tysklind M. 2006. Megavariate analysis of environmental qsar data. Part I-A basic framework founded on principal component analysis (PCA), partial least squares (PLS), and statistical molecular design (SMD). Mol Divers 10:169-86.
-
(2006)
Mol Divers
, vol.10
, pp. 169-186
-
-
Eriksson, L.1
Andersson, P.L.2
Johansson, E.3
Tysklind, M.4
-
22
-
-
84937868852
-
The fitness for purpose of analytical methods. A Laboratory Guide to Method Validation and Related Topics
-
Eurachem. Accessed on 23 August 2014
-
Eurachem. 1998. The Fitness for Purpose of Analytical Methods. A Laboratory Guide To Method Validation And Related Topics. Eurachem. Available at: http://www. eurachem. org/index. php/publications/ guides/mv. Accessed on 23 August 2014.
-
(1998)
Eurachem
-
-
-
23
-
-
84937868478
-
Eu extends ban on animal-tested cosmetics
-
Euronews. Accessed on 23 August 2014
-
Euronews. 2013. Eu Extends Ban On Animal-Tested Cosmetics. Euronews. Available at: http://www. euronews. com/2013/03/11/euextends-ban-on-animal-tested-cosmetics/. Accessed on 23 August 2014.
-
(2013)
Euronews
-
-
-
25
-
-
0032458753
-
Computational neural networks: A new paradigm for spatial analysis
-
Fischer M. 1997. Computational neural networks: A new paradigm for spatial analysis. Environ Plann A 30:1873-91.
-
(1997)
Environ Plann A
, vol.30
, pp. 1873-1891
-
-
Fischer, M.1
-
26
-
-
36549089078
-
Categorization framework to aid hazard identification of nanomaterials
-
Foss Hansen S, Larsen BH, Olsen SI, Baun A. 2007. Categorization framework to aid hazard identification of nanomaterials. Nanotoxicology 1:243-50.
-
(2007)
Nanotoxicology
, vol.1
, pp. 243-250
-
-
Foss Hansen, S.1
Larsen, B.H.2
Olsen, S.I.3
Baun, A.4
-
27
-
-
78049334073
-
Quantitative nanostructure-activity relationship modeling
-
Fourches D, Pu D, Tassa C, Weissleder R, Shaw SY, Mumper RJ, Tropsha A. 2010. Quantitative nanostructure-activity relationship modeling. Acs Nano 4:5703-12.
-
(2010)
Acs Nano
, vol.4
, pp. 5703-5712
-
-
Fourches, D.1
Pu, D.2
Tassa, C.3
Weissleder, R.4
Shaw, S.Y.5
Mumper, R.J.6
Tropsha, A.7
-
28
-
-
79952333743
-
Exploring quantitative nanostructure-activity relationships (QNAR) modeling as a tool for predicting biological effects of manufactured nanoparticles
-
Fourches D, Pu D, Tropsha A. 2011. Exploring quantitative nanostructure-activity relationships (QNAR) modeling as a tool for predicting biological effects of manufactured nanoparticles. Comb Chem High T Scr 14:217-25.
-
(2011)
Comb Chem High T Scr
, vol.14
, pp. 217-225
-
-
Fourches, D.1
Pu, D.2
Tropsha, A.3
-
29
-
-
75649141553
-
Use of a (quantitative) structure-activity relationship [(Q) Sar] model to predict the toxicity of naphthenic acids
-
Frank RA, Sanderson H, Kavanagh R, Burnison BK, Headley JV, Solomon KR. 2009. Use of a (quantitative) structure-activity relationship [(Q) Sar] model to predict the toxicity of naphthenic acids. J Toxicol Environ Health A 73:319-29.
-
(2009)
J Toxicol Environ Health A
, vol.73
, pp. 319-329
-
-
Frank, R.A.1
Sanderson, H.2
Kavanagh, R.3
Burnison, B.K.4
Headley, J.V.5
Solomon, K.R.6
-
30
-
-
84869159142
-
Advancing risk assessment of engineered nanomaterials: Application of computational approaches
-
Gajewicz A, Rasulev B, Dinadayalane TC, Urbaszek P, Puzyn T, Leszczynska D, Leszczynski J. 2012. Advancing risk assessment of engineered nanomaterials: Application of computational approaches. Adv Drug Deliv Rev 64:1663-93.
-
(2012)
Adv Drug Deliv Rev
, vol.64
, pp. 1663-1693
-
-
Gajewicz, A.1
Rasulev, B.2
Dinadayalane, T.C.3
Urbaszek, P.4
Puzyn, T.5
Leszczynska, D.6
Leszczynski, J.7
-
31
-
-
84865148453
-
Modeling the cellular uptake of magnetofluorescent nanoparticles in pancreatic cancer cells: A quantitative structure activity relationship study
-
Ghorbanzadeh M, Fatemi MH, Karimpour M. 2012. Modeling the cellular uptake of magnetofluorescent nanoparticles in pancreatic cancer cells: A quantitative structure activity relationship study. Ind Eng Chem Res 51:10712-18.
-
(2012)
Ind Eng Chem Res
, vol.51
, pp. 10712-10718
-
-
Ghorbanzadeh, M.1
Fatemi, M.H.2
Karimpour, M.3
-
32
-
-
34547604210
-
Anisotropy of building blocks and their assembly into complex structures
-
Glotzer SC, Solomon MJ. 2007. Anisotropy of building blocks and their assembly into complex structures. Nat Mater 6:557-62.
-
(2007)
Nat Mater
, vol.6
, pp. 557-562
-
-
Glotzer, S.C.1
Solomon, M.J.2
-
33
-
-
0042355453
-
Rational selection of training and test sets for the development of validated QSAR models
-
Golbraikh A, Shen M, Xiao Z, Xiao Y-D, Lee K-H, Tropsha A. 2003. Rational selection of training and test sets for the development of validated QSAR models. J Comput Aided Mol Des 17:241-53.
-
(2003)
J Comput Aided Mol des
, vol.17
, pp. 241-253
-
-
Golbraikh, A.1
Shen, M.2
Xiao, Z.3
Xiao, Y.-D.4
Lee, K.-H.5
Tropsha, A.6
-
36
-
-
34548276584
-
Non-testing in reach
-
Gubbels-Van Hal I. 2007. Non-testing in reach? Chim Oggi 25:14-16.
-
(2007)
Chim Oggi
, vol.25
, pp. 14-16
-
-
Gubbels-Van Hal, I.1
-
37
-
-
20444409456
-
Interpreting computational neural network QSAR models: A measure of descriptor importance
-
Guha R, Jurs PC. 2005. Interpreting computational neural network QSAR models: A measure of descriptor importance. J Chem Inform Model 45: 800-6.
-
(2005)
J Chem Inform Model
, vol.45
, pp. 800-806
-
-
Guha, R.1
Jurs, P.C.2
-
38
-
-
84879797130
-
A large-scale empirical evaluation of cross-validation and external test set validation in (Q)SAR
-
Gütlein M, Helma C, Karwath A, Kramer S. 2013. A large-scale empirical evaluation of cross-validation and external test set validation in (Q)SAR. Mol Info 32:516-28.
-
(2013)
Mol Info
, vol.32
, pp. 516-528
-
-
Gütlein, M.1
Helma, C.2
Karwath, A.3
Kramer, S.4
-
39
-
-
80051771039
-
Improving the interferences of methyl thiazolyl tetrazolium and IL-8 assays in assessing the cytotoxicity of nanoparticles
-
Hsiao I-L, Huang Y-J. 2011. Improving the interferences of methyl thiazolyl tetrazolium and IL-8 assays in assessing the cytotoxicity of nanoparticles. J Nanosci Nanotechnol 11:5228-33.
-
(2011)
J Nanosci Nanotechnol
, vol.11
, pp. 5228-5233
-
-
Hsiao, I.-L.1
Huang, Y.-J.2
-
40
-
-
0142038387
-
The application of structure-activity relationships in human hazard assessment: A first approach
-
Bilthoven, the Netherlands.
-
Hulzebos E, Janssen P, Maslankiewicz L, Meijerink M, Muller J, Pelgrom S, et al. 2001. The application of structure-activity relationships in human hazard assessment: A first approach. RIVM report 601516008, Bilthoven, the Netherlands.
-
(2001)
RIVM Report 601516008
-
-
Hulzebos, E.1
Janssen, P.2
Maslankiewicz, L.3
Meijerink, M.4
Muller, J.5
Pelgrom, S.6
-
41
-
-
0012906771
-
Summary of a workshop on regulatory acceptance of (Q)SARS for human health and environmental endpoints
-
Jaworska JS, Comber M, Auer C, Van Leeuwen C. 2003. Summary of a workshop on regulatory acceptance of (Q)SARS for human health and environmental endpoints. Environ Health Perspect 111:1358.
-
(2003)
Environ Health Perspect
, vol.111
, pp. 1358
-
-
Jaworska, J.S.1
Comber, M.2
Auer, C.3
Van Leeuwen, C.4
-
42
-
-
84871346842
-
Engineered nanomaterial risk. Lessons learnt from completed nanotoxicology studies: Potential solutions to current and future challenges
-
Johnston H, Pojana G, Zuin S, Jacobsen NR, Møller P, Loft S, et al. 2013. Engineered nanomaterial risk. lessons learnt from completed nanotoxicology studies: potential solutions to current and future challenges. Crit Rev Toxicol 43:1-20.
-
(2013)
Crit Rev Toxicol
, vol.43
, pp. 1-20
-
-
Johnston, H.1
Pojana, G.2
Zuin, S.3
Jacobsen, N.R.4
Mller, P.5
Loft, S.6
-
43
-
-
84893788216
-
Nano-quantitative structure-activity relationship modeling using easily computable and interpretable descriptors for uptake of magnetofluorescent engineered nanoparticles in pancreatic cancer cells
-
Kar S, Gajewicz A, Puzyn T, Roy K. 2014. Nano-quantitative structure-activity relationship modeling using easily computable and interpretable descriptors for uptake of magnetofluorescent engineered nanoparticles in pancreatic cancer cells. Toxicol In Vitro 28:600-6.
-
(2014)
Toxicol in Vitro
, vol.28
, pp. 600-606
-
-
Kar, S.1
Gajewicz, A.2
Puzyn, T.3
Roy, K.4
-
44
-
-
73349114397
-
The safety of nanotechnologies at the OECD
-
Netherlands: Springer
-
Kearns P, Gonzalez M, Oki N, Lee K, Rodriguez F. 2009. The safety of nanotechnologies at the OECD. In Nanomaterials: Risks and Benefits. Netherlands: Springer, 351-8.
-
(2009)
Nanomaterials: Risks and Benefits
, pp. 351-358
-
-
Kearns, P.1
Gonzalez, M.2
Oki, N.3
Lee, K.4
Rodriguez, F.5
-
46
-
-
40949093153
-
The use of (Q)SAR methods in the context of reach
-
Lahl U, Gundert-Remy U. 2008. The use of (Q)SAR methods in the context of reach. Toxicol Mechan Method 18:149-58.
-
(2008)
Toxicol Mechan Method
, vol.18
, pp. 149-158
-
-
Lahl, U.1
Gundert-Remy, U.2
-
47
-
-
67650330246
-
Molecular determinants of juvenile hormone action as revealed by 3D QSAR analysis in Drosophila
-
Liszeková D, Polakovicová M, Beno M, Farkas R. 2009. Molecular determinants of juvenile hormone action as revealed by 3D QSAR analysis in Drosophila. PLoS One 4:E6001.
-
(2009)
PLoS One
, vol.4
, pp. E6001
-
-
Liszeková, D.1
Polakovicová, M.2
Beno, M.3
Farkas, R.4
-
48
-
-
79954561104
-
Classification nanosar development for cytotoxicity of metal oxide nanoparticles
-
Liu R, Rallo R, George S, Ji Z, Nair S, Nel AE, Cohen Y. 2011. Classification nanosar development for cytotoxicity of metal oxide nanoparticles. Small 7:1118-26.
-
(2011)
Small
, vol.7
, pp. 1118-1126
-
-
Liu, R.1
Rallo, R.2
George, S.3
Ji, Z.4
Nair, S.5
Nel, A.E.6
Cohen, Y.7
-
49
-
-
84878041827
-
Nanosar development for bioactivity of nanoparticles with considerations of decision boundaries
-
Liu R, Rallo R, Weissleder R, Tassa C, Shaw S, Cohen Y. 2013a. Nanosar development for bioactivity of nanoparticles with considerations of decision boundaries. Small 9:1842-52.
-
(2013)
Small
, vol.9
, pp. 1842-1852
-
-
Liu, R.1
Rallo, R.2
Weissleder, R.3
Tassa, C.4
Shaw, S.5
Cohen, Y.6
-
50
-
-
84878702885
-
Development of structure-activity relationship for metal oxide nanoparticles
-
Liu R, Zhang HY, Ji ZX, Rallo R, Xia T, Chang CH, Nel A, Cohen Y. 2013b. Development of structure-activity relationship for metal oxide nanoparticles. Nanoscale 5:5644-53.
-
(2013)
Nanoscale
, vol.5
, pp. 5644-5653
-
-
Liu, R.1
Zhang, H.Y.2
Ji, Z.X.3
Rallo, R.4
Xia, T.5
Chang, C.H.6
Nel, A.7
Cohen, Y.8
-
51
-
-
84937901600
-
Globally Harmonized System of Classification and Labelling of Chemicals (GHS)
-
Lowe MF, Mccall D. 2009. Globally Harmonized System of Classification and Labelling of Chemicals (GHS). Arlington: US Environmental Agency.
-
(2009)
Arlington: US Environmental Agency
-
-
Lowe, M.F.1
Mccall, D.2
-
52
-
-
84890016656
-
Evaluation criteria for the quality of published experimental data on nanomaterials and their usefulness for QSAR modelling
-
Lubinski L, Urbaszek P, Gajewicz A, Cronin M, Enoch S, Madden J, et al. 2013. Evaluation criteria for the quality of published experimental data on nanomaterials and their usefulness for QSAR modelling. SAR QSAR Environ Res 24:995-1008.
-
(2013)
SAR QSAR Environ Res
, vol.24
, pp. 995-1008
-
-
Lubinski, L.1
Urbaszek, P.2
Gajewicz, A.3
Cronin, M.4
Enoch, S.5
Madden, J.6
-
53
-
-
84876578435
-
Quantitative structure-activity relationship models for ready biodegradability of chemicals
-
Mansouri K, Ringsted T, Ballabio D, Todeschini R, Consonni V. 2013. Quantitative structure-activity relationship models for ready biodegradability of chemicals. J Chem Info Model 53:867-78.
-
(2013)
J Chem Info Model
, vol.53
, pp. 867-878
-
-
Mansouri, K.1
Ringsted, T.2
Ballabio, D.3
Todeschini, R.4
Consonni, V.5
-
54
-
-
37449006161
-
Structure-activity relationship analysis tools: Validation and applicability in predicting carcinogens
-
Mayer J, Cheeseman M, Twaroski M. 2008. Structure-activity relationship analysis tools: validation and applicability in predicting carcinogens. Regul Toxicol Pharmacol 50:50-8.
-
(2008)
Regul Toxicol Pharmacol
, vol.50
, pp. 50-58
-
-
Mayer, J.1
Cheeseman, M.2
Twaroski, M.3
-
55
-
-
84871157124
-
Use and perceived benefits and barriers of QSAR models for reach: Findings from a questionnaire to stakeholders
-
Mays C, Benfenati E, Pardoe S. 2012. Use and perceived benefits and barriers of QSAR models for reach: findings from a questionnaire to stakeholders. Chem Cent J 6:1-9.
-
(2012)
Chem Cent J
, vol.6
, pp. 1-9
-
-
Mays, C.1
Benfenati, E.2
Pardoe, S.3
-
56
-
-
84877247929
-
A tiered approach
-
Mccall MJ, Coleman VA, Herrmann J, Kirby JK, Gardner IR, Brent PJ, Johnson CM. 2013. A tiered approach. Nat Nanotechnol 8:307-8.
-
(2013)
Nat Nanotechnol
, vol.8
, pp. 307-308
-
-
Mccall, M.J.1
Coleman, V.A.2
Herrmann, J.3
Kirby, J.K.4
Gardner, I.R.5
Brent, P.J.6
Johnson, C.M.7
-
57
-
-
0033935598
-
The practice of structure activity relationships (SAR) in toxicology
-
Mckinney JD, Richard A, Waller C, Newman MC, Gerberick F. 2000. The practice of structure activity relationships (SAR) in toxicology. Toxicol Sci 56:8-17.
-
(2000)
Toxicol Sci
, vol.56
, pp. 8-17
-
-
Mckinney, J.D.1
Richard, A.2
Waller, C.3
Newman, M.C.4
Gerberick, F.5
-
58
-
-
18244367106
-
Pops: A QSAR system for developing categories for persistent, bioacculative and toxic chemicals and their metabolites
-
Mekenyan O, Dimitrov S, Pavlov T, Veith G. 2005. Pops: A QSAR system for developing categories for persistent, bioacculative and toxic chemicals and their metabolites. SAR QSAR Env Res 16:103-33.
-
(2005)
SAR QSAR Env Res
, vol.16
, pp. 103-133
-
-
Mekenyan, O.1
Dimitrov, S.2
Pavlov, T.3
Veith, G.4
-
60
-
-
38149135806
-
Characterization of nanomaterial dispersion in solution prior to in vitro exposure using dynamic light scattering technique
-
Murdock RC, Braydich-Stolle L, Schrand AM, Schlager JJ, Hussain SM. 2008. Characterization of nanomaterial dispersion in solution prior to in vitro exposure using dynamic light scattering technique. Toxicol Sci 101:239-53.
-
(2008)
Toxicol Sci
, vol.101
, pp. 239-253
-
-
Murdock, R.C.1
Braydich-Stolle, L.2
Schrand, A.M.3
Schlager, J.J.4
Hussain, S.M.5
-
61
-
-
84872129750
-
Nist gold nanoparticle reference materials do not induce oxidative DNA damage
-
Nelson BC, Petersen EJ, Marquis BJ, Atha DH, Elliott JT, Cleveland D, et al. 2013. Nist gold nanoparticle reference materials do not induce oxidative DNA damage. Nanotoxicology 7:21-9.
-
(2013)
Nanotoxicology
, vol.7
, pp. 21-29
-
-
Nelson, B.C.1
Petersen, E.J.2
Marquis, B.J.3
Atha, D.H.4
Elliott, J.T.5
Cleveland, D.6
-
62
-
-
84890354341
-
Noninvasive determination of cellular oxygen consumption as novel cytotoxicity assay for nanomaterials
-
Neumeyer A, Bukowski M, Veith M, Lehr C-M, Daum N. 2014. Noninvasive determination of cellular oxygen consumption as novel cytotoxicity assay for nanomaterials. Nanotoxicology 8:50-60.
-
(2014)
Nanotoxicology
, vol.8
, pp. 50-60
-
-
Neumeyer, A.1
Bukowski, M.2
Veith, M.3
Lehr, C.-M.4
Daum, N.5
-
65
-
-
72149108274
-
-
OECD. Series on Testing and Assessment, No. 80
-
OECD. 2007b. Guidance on the grouping of chemicals. Series on Testing and Assessment, No. 80.
-
(2007)
Guidance on the Grouping of Chemicals
-
-
-
66
-
-
84899647322
-
Nanoinformatics: Emerging databases and available tools
-
Panneerselvam S, Choi S. 2014. Nanoinformatics: emerging databases and available tools. Int J Mol Sci 15:7158-82.
-
(2014)
Int J Mol Sci
, vol.15
, pp. 7158-7182
-
-
Panneerselvam, S.1
Choi, S.2
-
67
-
-
84890823294
-
Using experimental data of Escherichia coli to develop a QSAR model for predicting the photo-induced cytotoxicity of metal oxide nanoparticles
-
Pathakoti K, Huang M-J, Watts JD, He X, Hwang H-M. 2014. Using experimental data of Escherichia coli to develop a QSAR model for predicting the photo-induced cytotoxicity of metal oxide nanoparticles. J Photochem Photobiol B 130:234-40.
-
(2014)
J Photochem Photobiol B
, vol.130
, pp. 234-240
-
-
Pathakoti, K.1
Huang, M.-J.2
Watts, J.D.3
He, X.4
Hwang, H.-M.5
-
69
-
-
84879829369
-
Use of category approaches, read-across and (Q)SAR: General considerations
-
Patlewicz G, Ball N, Booth ED, Hulzebos E, Zvinavashe E, Hennes C. 2013. Use of category approaches, read-across and (Q)SAR: general considerations. Regul Toxicol Pharmacol 67:1-12.
-
(2013)
Regul Toxicol Pharmacol
, vol.67
, pp. 1-12
-
-
Patlewicz, G.1
Ball, N.2
Booth, E.D.3
Hulzebos, E.4
Zvinavashe, E.5
Hennes, C.6
-
70
-
-
79952602472
-
Non-testing approaches under reach-help or hindrance Perspectives from a practitioner within industry
-
Patlewicz G, Chen M, Bellin, C. 2011. Non-testing approaches under reach-help or hindrance Perspectives from a practitioner within industry. SAR QSAR Environ Res 22:67-88.
-
(2011)
SAR QSAR Environ Res
, vol.22
, pp. 67-88
-
-
Patlewicz, G.1
Chen, M.2
Bellin, C.3
-
71
-
-
72149108995
-
Mechanism-based categorization of aromatase inhibitors: A potential discovery and screening tool
-
Petkov P, Temelkov S, Villeneuve D, Ankley G, Mekenyan O. 2009. Mechanism-based categorization of aromatase inhibitors: A potential discovery and screening tool. SAR QSAR Environ Res 20:657-78.
-
(2009)
SAR QSAR Environ Res
, vol.20
, pp. 657-678
-
-
Petkov, P.1
Temelkov, S.2
Villeneuve, D.3
Ankley, G.4
Mekenyan, O.5
-
73
-
-
73349083717
-
Toward the development of ''nano-QSARS'': Advances and challenges
-
Puzyn T, Leszczynska D, Leszczynski J. 2009. Toward the development of ''nano-QSARS'': Advances and challenges. Small 5:2494-509.
-
(2009)
Small
, vol.5
, pp. 2494-2509
-
-
Puzyn, T.1
Leszczynska, D.2
Leszczynski, J.3
-
74
-
-
79952372146
-
Using nano-QSAR to predict the cytotoxicity of metal oxide nanoparticles
-
Puzyn T, Rasulev B, Gajewicz A, Hu X, Dasari TP, Michalkova A, et al. 2011. Using nano-QSAR to predict the cytotoxicity of metal oxide nanoparticles. Nat Nanotechnol 6:175-8.
-
(2011)
Nat Nanotechnol
, vol.6
, pp. 175-178
-
-
Puzyn, T.1
Rasulev, B.2
Gajewicz, A.3
Hu, X.4
Dasari, T.P.5
Michalkova, A.6
-
75
-
-
84937895421
-
Toxicity of nanomaterials: Availability and suitability of data for the development of in silico models
-
Richarz AN, Cronin M, Madden J, Lubinski L, Mokshina E, Urbaszek P, et al. 2013. Toxicity of nanomaterials: Availability and suitability of data for the development of in silico models. Toxicol Lett 221:S246.
-
(2013)
Toxicol Lett
, vol.221
, pp. S246
-
-
Richarz, A.N.1
Cronin, M.2
Madden, J.3
Lubinski, L.4
Mokshina, E.5
Urbaszek, P.6
-
76
-
-
17444377907
-
Societal implications of nanoscience and nanotechnology: Maximizing human benefit
-
Roco MC, Bainbridge WS. 2005. Societal implications of nanoscience and nanotechnology: maximizing human benefit. J Nanopart Res 7: 1-13.
-
(2005)
J Nanopart Res
, vol.7
, pp. 1-13
-
-
Roco, M.C.1
Bainbridge, W.S.2
-
77
-
-
84873050306
-
Dependence of QSAR models on the selection of trial descriptor sets: A demonstration using nanotoxicity endpoints of decorated nanotubes
-
Shao C-Y, Chen S-Z, Su B-H, Tseng YJ, Esposito EX, Hopfinger AJ. 2013. Dependence of QSAR models on the selection of trial descriptor sets: A demonstration using nanotoxicity endpoints of decorated nanotubes. J Chem Info Model 53:142-58.
-
(2013)
J Chem Info Model
, vol.53
, pp. 142-158
-
-
Shao, C.-Y.1
Chen, S.-Z.2
Su, B.-H.3
Tseng, Y.J.4
Esposito, E.X.5
Hopfinger, A.J.6
-
78
-
-
84896359897
-
Nano-QSAR modeling for predicting biological activity of diverse nanomaterials
-
Singh KP, Gupta S. 2014. Nano-QSAR modeling for predicting biological activity of diverse nanomaterials. Rsc Adv 4:13215-30.
-
(2014)
Rsc Adv
, vol.4
, pp. 13215-13230
-
-
Singh, K.P.1
Gupta, S.2
-
79
-
-
77952976369
-
Nanomaterials for environmental studies: Classification, reference material issues, and strategies for physicochemical characterisation
-
Stone V, Nowack B, Baun A, Van Den Brink N, Von Der Kammer F, Dusinska M, et al. 2010. Nanomaterials for environmental studies: classification, reference material issues, and strategies for physicochemical characterisation. Sci Total Environ 408:1745-54.
-
(2010)
Sci Total Environ
, vol.408
, pp. 1745-1754
-
-
Stone, V.1
Nowack, B.2
Baun, A.3
Van Den Brink, N.4
Von Der Kammer, F.5
Dusinska, M.6
-
80
-
-
0042768071
-
Decision tree sar models for developmental toxicity based on an FDA/TERIS database
-
Sussman N, Arena V, Yu S, Mazumdar S, Thampatty B. 2003. Decision tree sar models for developmental toxicity based on an FDA/TERIS database. SAR QSAR Environ Res 14:83-96.
-
(2003)
SAR QSAR Environ Res
, vol.14
, pp. 83-96
-
-
Sussman, N.1
Arena, V.2
Yu, S.3
Mazumdar, S.4
Thampatty, B.5
-
82
-
-
79959688079
-
Exploring an ecotoxicity database with the OECD (Q)SAR toolbox and dragon descriptors in order to prioritise testing on algae, daphnids, and fish
-
Tebby C, Mombelli E, Pandard P, Péry AR. 2011. Exploring an ecotoxicity database with the OECD (Q)SAR toolbox and dragon descriptors in order to prioritise testing on algae, daphnids, and fish. Sci Total Environ 409:3334-43.
-
(2011)
Sci Total Environ
, vol.409
, pp. 3334-3343
-
-
Tebby, C.1
Mombelli, E.2
Pandard, P.3
Péry, A.R.4
-
83
-
-
84876977479
-
QSAR a random event: Modeling of nanoparticles uptake in PACA2 cancer cells
-
Toropov AA, Toropova AP, Puzyn T, Benfenati E, Gini G, Leszczynska D, Leszczynski J. 2013. QSAR a random event: modeling of nanoparticles uptake in PACA2 cancer cells. Chemosphere 92:31-7.
-
(2013)
Chemosphere
, vol.92
, pp. 31-37
-
-
Toropov, A.A.1
Toropova, A.P.2
Puzyn, T.3
Benfenati, E.4
Gini, G.5
Leszczynska, D.6
Leszczynski, J.7
-
87
-
-
84890322405
-
Principal component and causal analysis of structural and acute in vitro toxicity data for nanoparticles
-
Wang XZ, Yang Y, Li RF, Mcguinnes C, Adamson J, Megson IL, Donaldson K. 2013. Principal component and causal analysis of structural and acute in vitro toxicity data for nanoparticles. Nanotoxicology 8:465-76.
-
(2013)
Nanotoxicology
, vol.8
, pp. 465-476
-
-
Wang, X.Z.1
Yang, Y.2
Li, R.F.3
Mcguinnes, C.4
Adamson, J.5
Megson, I.L.6
Donaldson, K.7
-
88
-
-
12044254082
-
Prediction of reduced ion mobility constants from structural information using multiple linear regression analysis and computational neural networks
-
Wessel MD, Jurs PC. 1994. Prediction of reduced ion mobility constants from structural information using multiple linear regression analysis and computational neural networks. Anal Chem 66:2480-7.
-
(1994)
Anal Chem
, vol.66
, pp. 2480-2487
-
-
Wessel, M.D.1
Jurs, P.C.2
-
89
-
-
0036368719
-
Application of neural networks to large dataset qsar, virtual screening, and library design
-
Winkler DA, Burden FR. 2002. Application of neural networks to large dataset qsar, virtual screening, and library design. Combinatorial Library, 325-67.
-
(2002)
Combinatorial Library
, pp. 325-367
-
-
Winkler, D.A.1
Burden, F.R.2
-
90
-
-
84885757504
-
Applying quantitative structure-activity relationship approaches to nanotoxicology: Current status and future potential
-
Winkler DA, Mombelli E, Pietroiusti A, Tran L, Worth A, Fadeel B, Mccall MJ. 2012. Applying quantitative structure-activity relationship approaches to nanotoxicology: current status and future potential. Toxicology 313:15-23.
-
(2012)
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
-
91
-
-
4043071270
-
Comparative study of QSAR/QSPR correlations using support vector machines, radial basis function neural networks, and multiple linear regression
-
Yao X, Panaye A, Doucet J-P, Zhang R, Chen H, Liu M, et al. 2004. Comparative study of QSAR/QSPR correlations using support vector machines, radial basis function neural networks, and multiple linear regression. J Chem Inform Comput Sci 44:1257-66.
-
(2004)
J Chem Inform Comput Sci
, vol.44
, pp. 1257-1266
-
-
Yao, X.1
Panaye, A.2
Doucet, J.-P.3
Zhang, R.4
Chen, H.5
Liu, M.6
|