| Literature DB >> 23707564 |
Uwe Koch1, Michael Hamacher, Peter Nussbaumer.
Abstract
Multiple factors have to be optimized in the course of a drug discovery project. Traditionally this includes potency on a single target, eventually specificity as well as the pharmacokinetic, physicochemical and the safety profile. Recently an additional dimension has been added by realizing that the therapeutic outcome of a drug is often determined not only by its activity on a single target but also by its activity profile across a variety of biological targets. To address the polypharmacology of drug candidates many compounds are tested on a set of targets or in phenotypic screens generating a tremendous amount of data. To extract useful information computational methods at the interface of proteomics and cheminformatics are indispensable. This review will focus on some recent developments in this field. This article is part of a Special Issue entitled: Computational Proteomics in the Post-Identification Era. Guest Editors: Martin Eisenacher and Christian Stephan.Keywords: Cheminformatics; Chemogenomics; Polypharmacology; Proteomics
Mesh:
Year: 2013 PMID: 23707564 DOI: 10.1016/j.bbapap.2013.05.010
Source DB: PubMed Journal: Biochim Biophys Acta ISSN: 0006-3002