alexa Computational Strategies for Drug Reprofiling
ISSN: 0974-276X

Journal of Proteomics & Bioinformatics
Open Access

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Research Article

Computational Strategies for Drug Reprofiling

Serban San-Marina1,2*, Rajeesh Gupta2 and Ionel Iosif1

1University of Toronto, Canada

2BiostatistiX, Canada

*Corresponding Author:
Dr. Serban San-Marina
University of Toronto, Canada
E-mail: [email protected]

Received Date: September 20, 2011; Accepted Date: October 20, 2011; Published Date: October 29, 2011

Citation: San-Marina S, Gupta R, Iosif I (2011) Computational Strategies for Drug Reprofiling. J Proteomics Bioinform 4: 242-244. doi: 10.4172/jpb.1000196

Copyright: © 2011 San-Marina S, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 

Abstract

This article introduces some of the recent developments in drug re-profiling with emphasis on how computational chemistry and biology approaches together with access to public databases can help generate new leads from existing drugs. It discusses the drawbacks of high-throughput (HTS) genomics and how the concepts of target polypharmacology can help speed up delivery of the next generation of drugs. Some of the successful strategies for drug re-profiling are presented and computational tools are discussed.

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