An improved approach for predicting drug–target interaction: proteochemometrics to molecular docking-Reference-Cited by-同舟云学术

An improved approach for predicting drug–target interaction: proteochemometrics to molecular docking

Published:2016 Issue:3 Volume:12 Page:1006-1014
ISSN:1742-206X
Container-title:Molecular BioSystems
language:en
Short-container-title:Mol. BioSyst.

Author:

Shaikh Naeem¹²³⁴,Sharma Mahesh¹²³⁴,Garg Prabha¹²³⁴

Affiliation:

1. Department of Pharmacoinformatics

2. National Institute of Pharmaceutical Education and Research (NIPER)

3. Punjab 160062

4. India

Abstract

Proteochemometric (PCM) methods, which use descriptors of both the interacting species, i.e. drug and the target, are being successfully employed for the prediction of drug–target interactions (DTI).

Funder

Department of Information Technology, Ministry of Communications and Information Technology

Publisher

Royal Society of Chemistry (RSC)

Subject

Molecular Biology,Biotechnology

Link

http://pubs.rsc.org/en/content/articlepdf/2016/MB/C5MB00650C

Reference46 articles.

1. The topology of drug–target interaction networks: implicit dependence on drug properties and target families

2. Target Fishing by Cross-Docking to Explain Polypharmacological Effects

3. TarFisDock: a web server for identifying drug targets with docking approach

4. High-throughput virtual screening of phloroglucinol derivatives against HIV-reverse transcriptase

5. QSAR in the Pharmaceutical Research Setting: QSAR Models for Broad, Large Problems

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