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For: Zhou YP, Jiang JH, Lin WQ, Zou HY, Wu HL, Shen GL, Yu RQ. Boosting support vector regression in QSAR studies of bioactivities of chemical compounds. Eur J Pharm Sci 2006;28:344-53. [PMID: 16697155 DOI: 10.1016/j.ejps.2006.04.002] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2005] [Revised: 03/10/2006] [Accepted: 04/02/2006] [Indexed: 01/04/2023]
Number Cited by Other Article(s)
1
Abubakar MS, Aremu KO, Aphane M, Amusa LB. A QSPR analysis of physical properties of antituberculosis drugs using neighbourhood degree-based topological indices and support vector regression. Heliyon 2024;10:e28260. [PMID: 38571658 PMCID: PMC10987931 DOI: 10.1016/j.heliyon.2024.e28260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 03/05/2024] [Accepted: 03/14/2024] [Indexed: 04/05/2024]  Open
2
Nakhaei-Kohani R, Atashrouz S, Hadavimoghaddam F, Bostani A, Hemmati-Sarapardeh A, Mohaddespour A. Solubility of gaseous hydrocarbons in ionic liquids using equations of state and machine learning approaches. Sci Rep 2022;12:14276. [PMID: 35995904 PMCID: PMC9395420 DOI: 10.1038/s41598-022-17983-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Accepted: 08/03/2022] [Indexed: 11/09/2022]  Open
3
Robust boosting neural networks with random weights for multivariate calibration of complex samples. Anal Chim Acta 2018;1009:20-26. [DOI: 10.1016/j.aca.2018.01.013] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2017] [Revised: 12/10/2017] [Accepted: 01/05/2018] [Indexed: 11/18/2022]
4
Lei T, Sun H, Kang Y, Zhu F, Liu H, Zhou W, Wang Z, Li D, Li Y, Hou T. ADMET Evaluation in Drug Discovery. 18. Reliable Prediction of Chemical-Induced Urinary Tract Toxicity by Boosting Machine Learning Approaches. Mol Pharm 2017;14:3935-3953. [DOI: 10.1021/acs.molpharmaceut.7b00631] [Citation(s) in RCA: 50] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
5
Chen S, Zhang P, Liu X, Qin C, Tao L, Zhang C, Yang SY, Chen YZ, Chui WK. Towards cheminformatics-based estimation of drug therapeutic index: Predicting the protective index of anticonvulsants using a new quantitative structure-index relationship approach. J Mol Graph Model 2016;67:102-10. [PMID: 27262528 DOI: 10.1016/j.jmgm.2016.05.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2016] [Revised: 05/17/2016] [Accepted: 05/18/2016] [Indexed: 02/05/2023]
6
Jain (Pancholi) N, Gupta S, Sapre N, Sapre NS. In silico de novo design of novel NNRTIs: a bio-molecular modelling approach. RSC Adv 2015. [DOI: 10.1039/c4ra15478a] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]  Open
7
Jain Pancholi N, Gupta S, Sapre N, Sapre NS. Design of novel leads: ligand based computational modeling studies on non-nucleoside reverse transcriptase inhibitors (NNRTIs) of HIV-1. MOLECULAR BIOSYSTEMS 2014;10:313-25. [PMID: 24292893 DOI: 10.1039/c3mb70218a] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
8
Jiao J, Tan SM, Luo RM, Zhou YP. A Robust Boosting Regression Tree with Applications in Quantitative Structure−Activity Relationship Studies of Organic Compounds. J Chem Inf Model 2011;51:816-28. [DOI: 10.1021/ci100429u] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
9
Al-Zoubi N, Kachrimanis K, Younis K, Malamataris S. Optimization of extended-release hydrophilic matrix tablets by support vector regression. Drug Dev Ind Pharm 2010;37:80-7. [DOI: 10.3109/03639045.2010.492396] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
10
Bian X, Cai W, Shao X, Chen D, Grant ER. Detecting influential observations by cluster analysis and Monte Carlo cross-validation. Analyst 2010;135:2841-7. [DOI: 10.1039/c0an00345j] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
11
Brown WM, Sasson A, Bellew DR, Hunsaker LA, Martin S, Leitao A, Deck LM, Vander Jagt DL, Oprea TI. Efficient calculation of molecular properties from simulation using kernel molecular dynamics. J Chem Inf Model 2008;48:1626-37. [PMID: 18672870 DOI: 10.1021/ci8001233] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
12
Niazi A, Jameh-Bozorghi S, Nori-Shargh D. Prediction of toxicity of nitrobenzenes using ab initio and least squares support vector machines. JOURNAL OF HAZARDOUS MATERIALS 2008;151:603-9. [PMID: 17630186 DOI: 10.1016/j.jhazmat.2007.06.030] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/08/2007] [Revised: 05/08/2007] [Accepted: 06/10/2007] [Indexed: 05/16/2023]
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