QSAR Study of Polychlorinated Dibenzodioxins, Dibenzofurans, and Biphenyls using the Heuristic Method and Support Vector Machine

F. Luan; W. P. Ma; X. Y. Zhang; H. X. Zhang; M. C. Liu; Z. D. Hu; B. T. Fan

doi:10.1002/qsar.200530131

QSAR Study of Polychlorinated Dibenzodioxins, Dibenzofurans, and Biphenyls using the Heuristic Method and Support Vector Machine

QSAR & Combinatorial Science ◽

10.1002/qsar.200530131 ◽

2006 ◽

Vol 25 (1) ◽

pp. 46-55 ◽

Cited By ~ 20

Author(s):

F. Luan ◽

W. P. Ma ◽

X. Y. Zhang ◽

H. X. Zhang ◽

M. C. Liu ◽

...

Keyword(s):

Support Vector Machine ◽

Heuristic Method ◽

Support Vector ◽

Qsar Study ◽

Polychlorinated Dibenzodioxins

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Implementation of Simulated Annealing-Support Vector Machine on QSAR Study of Fusidic Acid Derivatives as Anti-Malarial Agent

2020 6th International Conference on Interactive Digital Media (ICIDM) ◽

10.1109/icidm51048.2020.9339632 ◽

2020 ◽

Author(s):

Farisi Rahman ◽

Kemas Muslim Lhaksmana ◽

Isman Kurniawan

Keyword(s):

Support Vector Machine ◽

Simulated Annealing ◽

Fusidic Acid ◽

Support Vector ◽

Qsar Study

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QSAR Study of Angiotensin I-Converting Enzyme Inhibitory Dipeptides Based on PRIN Descriptors by Support Vector Machine

2010 4th International Conference on Bioinformatics and Biomedical Engineering ◽

10.1109/icbbe.2010.5515932 ◽

2010 ◽

Author(s):

Jiajian Yin ◽

Shiping Du

Keyword(s):

Support Vector Machine ◽

Support Vector ◽

Converting Enzyme ◽

Angiotensin I ◽

Qsar Study ◽

Angiotensin I Converting Enzyme

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QSAR Study on the Toxicity of Phenols for Fathead Minnows by Using Support Vector Machine and Neural Networks

2008 Fourth International Conference on Natural Computation ◽

10.1109/icnc.2008.931 ◽

2008 ◽

Cited By ~ 1

Author(s):

Xiujun Cui ◽

Zhinxin Wang ◽

Zhuoyong Zhang ◽

Xing Yuan ◽

Peter de B. Harrington

Keyword(s):

Neural Networks ◽

Support Vector Machine ◽

Support Vector ◽

Fathead Minnows ◽

Qsar Study

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Implementation of Simulated Annealing-Support Vector Machine on QSAR Study of Indenopyrazole Derivative as Anti-Cancer Agent

10.1109/icoict52021.2021.9527416 ◽

2021 ◽

Author(s):

Muhammad Fajar Rizqi ◽

Reza Rendian Septiawan ◽

Isman Kurniawan

Keyword(s):

Support Vector Machine ◽

Simulated Annealing ◽

Support Vector ◽

Qsar Study ◽

Anti Cancer ◽

Cancer Agent

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Quantitative Prediction of logk of Peptides in High-Performance Liquid Chromatography Based on Molecular Descriptors by Using the Heuristic Method and Support Vector Machine.

ChemInform ◽

10.1002/chin.200506222 ◽

2005 ◽

Vol 36 (6) ◽

Author(s):

H. X. Liu ◽

C. X. Xue ◽

R. S. Zhang ◽

X. J. Yao ◽

M. C. Liu ◽

...

Keyword(s):

Support Vector Machine ◽

High Performance Liquid Chromatography ◽

Liquid Chromatography ◽

High Performance ◽

Molecular Descriptors ◽

Heuristic Method ◽

Quantitative Prediction ◽

Support Vector

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QSAR Study On 5-Lipoxygenase Inhibitors Based on Support Vector Machine

Medicinal Chemistry ◽

10.2174/157340612804075089 ◽

2012 ◽

Vol 8 (6) ◽

pp. 1108-1116

Author(s):

Bing Niu ◽

Qiang Su ◽

Xiaochen Yuan ◽

Wencong Lu ◽

Juan Ding

Keyword(s):

Support Vector Machine ◽

Support Vector ◽

Qsar Study ◽

Lipoxygenase Inhibitors

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QSAR Models for the Prediction of Binding Affinities to Human Serum Albumin Using the Heuristic Method and a Support Vector Machine

Journal of Chemical Information and Computer Sciences ◽

10.1021/ci049820b ◽

2004 ◽

Vol 44 (5) ◽

pp. 1693-1700 ◽

Cited By ~ 65

Author(s):

C. X. Xue ◽

R. S. Zhang ◽

H. X. Liu ◽

X. J. Yao ◽

M. C. Liu ◽

...

Keyword(s):

Support Vector Machine ◽

Human Serum Albumin ◽

Serum Albumin ◽

Human Serum ◽

Heuristic Method ◽

Support Vector ◽

Binding Affinities ◽

Qsar Models

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QSAR study of C allosteric binding site of HCV NS5B polymerase inhibitors by support vector machine

Molecular Diversity ◽

10.1007/s11030-010-9283-0 ◽

2010 ◽

Vol 15 (3) ◽

pp. 645-653 ◽

Cited By ~ 16

Author(s):

Eslam Pourbasheer ◽

Siavash Riahi ◽

Mohammad Reza Ganjali ◽

Parviz Norouzi

Keyword(s):

Support Vector Machine ◽

Binding Site ◽

Support Vector ◽

Qsar Study ◽

Polymerase Inhibitors ◽

Hcv Ns5b ◽

Ns5b Polymerase

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Statistically validated QSAR study of some antagonists of the human CCR5 receptor using least square support vector machine based on the genetic algorithm and factor analysis

Medicinal Chemistry Research ◽

10.1007/s00044-012-0138-3 ◽

2012 ◽

Vol 22 (3) ◽

pp. 1399-1414 ◽

Cited By ~ 7

Author(s):

Mohsen Shahlaie ◽

Afshin Fassihi ◽

Alireza Pourhossein ◽

Elham Arkan

Keyword(s):

Genetic Algorithm ◽

Support Vector Machine ◽

Factor Analysis ◽

Least Square ◽

Support Vector ◽

Qsar Study ◽

Ccr5 Receptor ◽

Human Ccr5

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Prediction of retention times for a large set of pesticides or toxicants based on support vector machine and the heuristic method

Toxicology Letters ◽

10.1016/j.toxlet.2007.10.005 ◽

2007 ◽

Vol 175 (1-3) ◽

pp. 136-144 ◽

Cited By ~ 16

Author(s):

X LI ◽

F LUAN ◽

H SI ◽

Z HU ◽

M LIU

Keyword(s):

Support Vector Machine ◽

Heuristic Method ◽

Support Vector ◽

Large Set ◽

Prediction Of Retention ◽

Prediction Of Retention Times

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