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Classification of Acetylcholinesterase Inhibitors and Decoys by a Support Vector Machine

Journal: Combinatorial Chemistry & High Throughput Screening
Volume: 15 Issue: 6 Year: 2012 Page: 492-502
Author(s): Kai Wang,Xiaoying Hu,Zhi Wang,Aixia Yan

A Support Vector Machine Based Method to Predict Success for Polymerase Chain Reactions

Journal: Combinatorial Chemistry & High Throughput Screening
Volume: 15 Issue: 6 Year: 2012 Page: 486-491
Author(s): Xiaoqing Yu,Xiaoqi Zheng,Liangyu Meng,Chun Li,Jun Wang

Based on 9-gram Coding of Amino Acids Predicting Proteases Types by Using Support Vector Machine

Journal: Recent Patents on Computer Science
Volume: 5 Issue: 3 Year: 2012 Page: 220-225
Author(s): Cunshuan Xu,Ruijia Shi

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

Journal: Medicinal Chemistry
Volume: 8 Issue: 6 Year: 2012 Page: 1108-1116
Author(s): Bing Niu, Qiang Su, Xiaochen Yuan, Wencong Lu, Juan Ding

Dynamic Modeling on Credit Risk Evaluation with Fixed Time Window and Imbalanced Ensemble of Support Vector Machine

Journal: Recent Patents on Computer Science
Volume: 5 Issue: 1 Year: 2012 Page: 51-58
Author(s): Qing-Hua Huang, Jie Sun, Wei-Dong Mao

Prediction of Nicotinamide Adenine Dinucleotide Interacting Sites Based on Ensemble Support Vector Machine

Journal: Protein & Peptide Letters
Volume: 19 Issue: 5 Year: 2012 Page: 559-566
Author(s): Xia Wang,Cui-Cui Wang,Yong-Qing Zhang,Gang Mi,Juan Zhang,Meng-Long Li

Classification of Active and Weakly Active ST Inhibitors of HIV-1 Integrase Using a Support Vector Machine

Journal: Combinatorial Chemistry & High Throughput Screening
Volume: 15 Issue: 1 Year: 2012 Page: 792-805
Author(s): Aixia Yan, Shouyi Xuan, Xiaoying Hu

Machine Learning Techniques and Drug Design

Journal: Current Medicinal Chemistry
Volume: 19 Issue: 25 Year: 2012 Page: 4289-4297
Author(s): J.C. Gertrudes,V.G. Maltarollo,R.A. Silva,P.R. Oliveira,K.M. Honorio,A.B.F. da Silva

Machine Learning Study of Classifiers Trained with Biophysiochemical Properties of Amino Acids to Predict Fibril Forming Peptide Motifs

Journal: Protein & Peptide Letters
Volume: 19 Issue: 9 Year: 2012 Page: 917-923
Author(s): Smitha Sunil Kumaran Nair,N. V. Subba Reddy,K. S. Hareesha

Predicting Protein Solubility by the General Form of Chouâs Pseudo Amino Acid Composition: Approached from Chaos Game Representation and Fractal Dimension

Journal: Protein & Peptide Letters
Volume: 19 Issue: 9 Year: 2012 Page: 940-948
Author(s): Xiao-Hui Niu,Xue-Hai Hu,Feng Shi,Jing-Bo Xia

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