A QSAR Model for Predicting the Anti HIV-1 Activity of TIBO Derivatives Using the Norm Indexes-Reference-Cited by-同舟云学术

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A QSAR Model for Predicting the Anti HIV-1 Activity of TIBO Derivatives Using the Norm Indexes

Published:2016-05-19 Issue:6 Volume:37 Page:923-930
ISSN:1229-5949
Container-title:Bulletin of the Korean Chemical Society
language:en
Short-container-title:Bull. Korean Chem. Soc.

Author:

Li Lei¹,Yan Fangyou¹,Xu Xiangying¹,Jia Qingzhu²,Wang Qiang¹,Ma Peisheng³

Affiliation:

1. School of Chemical Engineering and Material Science; Tianjin University of Science and Technology; Tianjin 300457 P. R. China

2. School of marine and Environment; Tianjin University of Science and Technology; Tianjin 300457 P. R. China

3. School of Chemical Engineering and Technology; Tianjin University; Tianjin 300072 P. R. China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

General Chemistry

Reference31 articles.

1. http://www.unaids.org/en/dataanalysis

2. HIV-1 reverse transcriptase and antiviral drug resistance. Part 1

3. HIV-1 Reverse Transcription A Termination Step at the Center of the Genome

4. Profiling the interaction mechanism of indole-based derivatives targeting the HIV-1 gp120 receptor

5. Support vector machines: Development of QSAR models for predicting anti-HIV-1 activity of TIBO derivatives

Cited by 4 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. QSAR models for describing the toxicological eﬀects of ILs against Staphylococcus aureus based on norm indexes;Chemosphere;2018-03

2. Predicting heat capacity of gas for diverse organic compounds at different temperatures;Fluid Phase Equilibria;2017-08

3. Description of the Thermal Conductivity λ(T, P) of Ionic Liquids Using the Structure–Property Relationship Method;Journal of Chemical & Engineering Data;2017-07-26

4. Predicting the activity of hydroxamic acid analogues;Molecular Simulation;2017-07-17

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