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2. QSAR modeling: where have you been? Where are you going to? Cherkasov A; Muratov EN; Fourches D; Varnek A; Baskin II; Cronin M; Dearden J; Gramatica P; Martin YC; Todeschini R; Consonni V; Kuz'min VE; Cramer R; Benigni R; Yang C; Rathman J; Terfloth L; Gasteiger J; Richard A; Tropsha A J Med Chem; 2014 Jun; 57(12):4977-5010. PubMed ID: 24351051 [TBL] [Abstract][Full Text] [Related]
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4. Current approaches for choosing feature selection and learning algorithms in quantitative structure-activity relationships (QSAR). Khan PM; Roy K Expert Opin Drug Discov; 2018 Dec; 13(12):1075-1089. PubMed ID: 30372648 [TBL] [Abstract][Full Text] [Related]
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6. Predictive QSAR modeling for the successful predictions of the ADMET properties of candidate drug molecules. Khan MT; Sylte I Curr Drug Discov Technol; 2007 Oct; 4(3):141-9. PubMed ID: 17985997 [TBL] [Abstract][Full Text] [Related]
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8. Integrating QSAR modelling and deep learning in drug discovery: the emergence of deep QSAR. Tropsha A; Isayev O; Varnek A; Schneider G; Cherkasov A Nat Rev Drug Discov; 2024 Feb; 23(2):141-155. PubMed ID: 38066301 [TBL] [Abstract][Full Text] [Related]
9. The advancement of multidimensional QSAR for novel drug discovery - where are we headed? Wang T; Yuan XS; Wu MB; Lin JP; Yang LR Expert Opin Drug Discov; 2017 Aug; 12(8):769-784. PubMed ID: 28562095 [TBL] [Abstract][Full Text] [Related]
10. QSAR: What Else? Gini G Methods Mol Biol; 2018; 1800():79-105. PubMed ID: 29934888 [TBL] [Abstract][Full Text] [Related]
11. Quantitative structure-activity relationship methods: perspectives on drug discovery and toxicology. Perkins R; Fang H; Tong W; Welsh WJ Environ Toxicol Chem; 2003 Aug; 22(8):1666-79. PubMed ID: 12924569 [TBL] [Abstract][Full Text] [Related]
12. Learning from Multiple Classifier Systems: Perspectives for Improving Decision Making of QSAR Models in Medicinal Chemistry. Pham-The H; Nam NH; Nga DV; Hai DT; Dieguez-Santana K; Marrero-Poncee Y; Castillo-Garit JA; Casanola-Martin GM; Le-Thi-Thu H Curr Top Med Chem; 2018 Feb; 17(30):3269-3288. PubMed ID: 29231145 [TBL] [Abstract][Full Text] [Related]
13. QSAR and the role of luck in research. Hansch C Farmaco; 2003 Sep; 58(9):621-3. PubMed ID: 14562802 [No Abstract] [Full Text] [Related]
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16. Estimating the domain of applicability for machine learning QSAR models: a study on aqueous solubility of drug discovery molecules. Schroeter TS; Schwaighofer A; Mika S; Ter Laak A; Suelzle D; Ganzer U; Heinrich N; Müller KR J Comput Aided Mol Des; 2007 Dec; 21(12):651-64. PubMed ID: 18060505 [TBL] [Abstract][Full Text] [Related]
17. Evaluation of mutual information, genetic algorithm and SVR for feature selection in QSAR regression. Fang J; Tai D Curr Drug Discov Technol; 2011 Jun; 8(2):107-11. PubMed ID: 21513488 [TBL] [Abstract][Full Text] [Related]
18. Have artificial neural networks met expectations in drug discovery as implemented in QSAR framework? Dobchev D; Karelson M Expert Opin Drug Discov; 2016 Jul; 11(7):627-39. PubMed ID: 27149299 [TBL] [Abstract][Full Text] [Related]
19. Estimating the domain of applicability for machine learning QSAR models: a study on aqueous solubility of drug discovery molecules. Schroeter TS; Schwaighofer A; Mika S; Ter Laak A; Suelzle D; Ganzer U; Heinrich N; Müller KR J Comput Aided Mol Des; 2007 Sep; 21(9):485-98. PubMed ID: 17632688 [TBL] [Abstract][Full Text] [Related]
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