182
Views
5
CrossRef citations to date
0
Altmetric
Reviews

New in silico and conventional in vitro approaches to advance HIV drug discovery and design

, , , , , , & show all
Pages 83-92 | Published online: 20 Nov 2012
 

Abstract

Introduction: Recently, the new concept of the long-range intermolecular interactions in biological systems has been proposed. Combined use of molecular modeling techniques and the screening techniques based on the long-range interaction concept could significantly improve and accelerate discovery of new HIV drugs. However, any hit identified in silico needs to be characterized with respect to its biological target by enzymatic studies. Combined use of the in silico screening and the enzymatic studies allows an efficient selection of new anti-HIV drugs.

Areas covered: The focus of this article is on the in silico screening of molecular libraries for candidate new HIV drugs, which is based on the molecular descriptors determining the long-range interaction between the drugs and their therapeutic target. This article also reviews the techniques for enzyme kinetic studies which are required for optimization of in silico selected candidate anti-HIV drugs.

Expert opinion: The novel approach of combining in silico screening techniques with enzymatic studies enables the accurate measurement of the quantitative descriptors of ligand–enzyme interactions. This novel method is a powerful tool for new anti-HIV drug discovery which can also reduce the drug development costs.

Acknowledgment

We would like to thank the anonymous reviewer whose suggestions increased the quality of this article.

Notes

This box summarizes key points contained in the article.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 99.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,340.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.