Search Result "MLR and SVM."


Identification of LOGP Values and Electronegativities As Structural Insights to Model Inhibitory Activity of HIV-1 Capsid Inhibitors - A SVM and MLR Aided QSAR Studies

Journal: Current Topics in Medicinal Chemistry
Volume: 12 Issue: 16 Year: 2012 Page: 1763-1774
Author(s): Nishant Sharma,K.R. Ethiraj,Mukesh Yadav,Anuraj Nayarisseri S,Mona Chaurasiya,Raju Naik Vankudavath,K. Rajender Rao

Research Article

QSAR Study of PARP Inhibitors by GA-MLR, GA-SVM and GA-ANN Approaches

Journal: Current Analytical Chemistry
Volume: 16 Issue: 8 Year: 2020 Page: 1088-1105
Author(s): Nafiseh Vahedi,Majid Mohammadhosseini,Mehdi Nekoei

Research Article

Development of MLR and SVM Aided QSAR Models to Identify Common SAR of GABA Uptake Herbal Inhibitors used in the Treatment of Schizophrenia

Journal: Current Neuropharmacology
Volume: 15 Issue: 8 Year: 2017 Page: 1085-1092
Author(s): Sahila Mohammed Marunnan,Babitha Pallikkara Pulikkal,Anitha Jabamalairaj,Srinivas Bandaru,Mukesh Yadav,Anuraj Nayarisseri,Victor Arokia Doss

Credential Role of van der Waal Volumes and Atomic Masses in Modeling Hepatitis C Virus NS5B Polymerase Inhibition by Tetrahydrobenzo- Thiophenes Using SVM and MLR Aided QSAR Studies

Journal: Current Bioinformatics
Volume: 8 Issue: 4 Year: 2013 Page: 465-471
Author(s): Kirti Khuntwal, Mukesh Yadav, Anuraj Nayarisseri, Shobha Joshi, Deepika Sharma, Smita Suhane

Regulative Role of Atomic Auto Correlated Electronegativities and Polarizabilities in β2 Potency of Ultralong Acting Agonists Identified in QSAR Studies

Journal: Current Bioinformatics
Volume: 10 Issue: 5 Year: 2015 Page: 503-508
Author(s): Srinivas Bandaru,Vinod Cingeetham,Uday Raj Akare,Deeksha Yadav,Nihit Aggarwal,Venkata Ravi Gutlapalli,Anuraj Nayarisseri,Mukesh Yadav

QSAR Studies on the Bioactivity of Plasmodium falciparum Glucose-6- Phosphate Dehydrogenase Inhibitors

Journal: Letters in Drug Design & Discovery
Volume: 12 Issue: 9 Year: 2015 Page: 728-735
Author(s): Xiaoli Hou,Yue Kong,Maolin Wang,Aixia Yan

Research Article

Quantitative Structure Activity Relationship (QSAR) of Methylated Polyphenol Derivatives as Permeability Glycoprotein (P-gp) Inhibitors: A Comparison of Different Training and Test Set Selection Methods

Journal: Letters in Drug Design & Discovery
Volume: 14 Issue: 9 Year: 2017 Page: 999-1007
Author(s): Paria Ghaemian,Ali Shayanfar

Research Article

An Integrated Multi-QSAR Modeling Approach for Designing Knoevenagel- Type Indoles with Enhancing Cytotoxic Profiles

Journal: Current Computer-Aided Drug Design
Volume: 13 Issue: 4 Year: 2017 Page: 336-345
Author(s): Sk. Abdul Amin,Nilanjan Adhikari,Tarun Jha,Shovanlal Gayen

Research Article

In silico Prediction of Inhibitory Constant of Thrombin Inhibitors Using Machine Learning

Journal: Combinatorial Chemistry & High Throughput Screening
Volume: 21 Issue: 9 Year: 2018 Page: 662-669
Author(s): Junnan Zhao,Lu Zhu,Weineng Zhou,Lingfeng Yin,Yuchen Wang,Yuanrong Fan,Yadong Chen,Haichun Liu

Quantitative Structure-activity Relationships of Imidazole-containing Farnesyltransferase Inhibitors Using Different Chemometric Methods

Journal: Medicinal Chemistry
Volume: 9 Issue: 3 Year: 2013 Page: 434-448
Author(s): Ali Shayanfar,Saeed Ghasemi,Somaieh Soltani,Karim Asadpour-Zeynali,Robert J. Doerksen,Abolghasem Jouyban

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