A prediction approach for anti-HIV activity of HEPT compounds using random forest technique-Reference-Cited by-同舟云学术

A prediction approach for anti-HIV activity of HEPT compounds using random forest technique

Published:2017-06-29 Issue:10 Volume:148 Page:1697-1709
ISSN:0026-9247
Container-title:Monatshefte für Chemie - Chemical Monthly
language:en
Short-container-title:Monatsh Chem

Author:

Inthajak Krit,Khamsemanan Nirattaya,Nattee Cholwich,Toochinda Pisanu,Lawtrakul Luckhana^ORCID

Funder

Thammasat University Research Fund

Publisher

Springer Science and Business Media LLC

Subject

General Chemistry

Link

http://link.springer.com/article/10.1007/s00706-017-1945-5/fulltext.html

Reference28 articles.

1. Global AIDS update 2016. (2016) UNAIDS. http://www.unaids.org/sites/default/files/media_asset/global-AIDS-update-2016_en.pdf . Accessed 20 Feb 2017

2. De Clercq E (1998) Antivir Res 38:153

3. De Clercq E (2004) Chem Biodivers 1:44

4. Telesnitsky A, Goff SP (1997) Reverse transcriptase and the generation of retroviral DNA. Cold Spring Harbor Laboratory Press, Cold Spring Harbor, New York, Retroviruses

5. Shafer RW, Dupnik K, Winters MA, Eshleman SH (2001) A guide to HIV-1 reverse transcriptase and protease sequencing for drug resistance studies. Compendium, HIV Sequence, p 1

Cited by 3 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. The design of compounds with desirable properties – The anti‐ HIV case study;Journal of Computational Chemistry;2022-12-19

2. Prediction of Anti-proliferation Effect of [1,2,3]Triazolo[4,5-<i>d</i>]pyrimidine Derivatives by Random Forest and Mix-Kernel Function SVM with PSO;Chemical and Pharmaceutical Bulletin;2022-10-01

3. Fukui Indices as QSAR Model Descriptors;International Journal of Chemoinformatics and Chemical Engineering;2017-07