Mechanistic Approach to Explore Isoniazid Derivatives as Antitubercular Agents Using KNN-MF Based-QSAR Analysis, Pharmacophore Modeling and Molecular Docking-Reference-Cited by-同舟云学术

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Mechanistic Approach to Explore Isoniazid Derivatives as Antitubercular Agents Using KNN-MF Based-QSAR Analysis, Pharmacophore Modeling and Molecular Docking

Published:2017-09-25 Issue:2 Volume:12 Page:
ISSN:1574-8855
Container-title:Current Drug Therapy
language:en
Short-container-title:CDTH

Author:

Verma Ekta¹,Agarwal Shivangi¹,Patil Shailendra²,Kashaw Sushil K.¹,Gajbhiye Asmita³

Affiliation:

1. Department of Pharmaceutical Sciences, Dr. Hari Singh Gour University, Sagar, MP, India

2. SVN Institute of Pharmaceutical Sciences, SVN University, Sagar, MP, India

3. Department of Pharmaceutical Sciences, Dr. Hari Singh Gour University, Sagar, MP 470003, India

Publisher

Bentham Science Publishers Ltd.

Subject

Pharmacology (medical),General Pharmacology, Toxicology and Pharmaceutics

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An integrated computational approach of molecular dynamics simulations, receptor binding studies and pharmacophore mapping analysis in search of potent inhibitors against tuberculosis;Journal of Molecular Graphics and Modelling;2018-08

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