Computational Identification of Inhibitors of Protein-Protein Interactions
Author(s) -
Shijun Zhong,
Alba T. Macias,
Alexander D. MacKerell
Publication year - 2006
Publication title -
current topics in medicinal chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.706
H-Index - 116
eISSN - 1873-4294
pISSN - 1568-0266
DOI - 10.2174/156802607779318334
Subject(s) - virtual screening , drug discovery , docking (animal) , protein–protein interaction , computational biology , protein–ligand docking , computer science , drug , identification (biology) , chemistry , bioinformatics , biology , pharmacology , medicine , biochemistry , botany , nursing
The ability to control protein-protein interactions (PPIs) for therapeutic purposes is attractive since many processes in cells involve such interactions. Recent successes in the discovery of small molecules that target protein-protein interactions for drug development have shown that targeting these interactions is indeed feasible. In the present review the use of computer-aided drug design (CADD) via database screening or docking algorithms for identifying inhibitors of protein-protein interactions is introduced. The principles of database screening and a practical protocol for targeting PPIs are described. The recent applications of these approaches to different systems involving protein-protein interactions, including BCL-2, S100B, ERK and p56lck, are presented and provide valuable examples of inhibitor discovery and design.
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