Computational Identification of Inhibitors of Protein-Protein Interactions

Title: Computational Identification of Inhibitors of Protein-Protein Interactions

Volume: 7 Issue: 1

Author(s): Shijun Zhong, Alba T. Macias and Alexander D. MacKerell

Affiliation:

Keywords: Protein-protein inhibition, virtual database screening, docking, inhibitor identification, computer-aided drug design, BCL-2, S100B, ERK, p56lck

Abstract: 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 proteinprotein 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.

Cite this article as:

Zhong Shijun, Macias T. Alba and MacKerell D. Alexander, Computational Identification of Inhibitors of Protein-Protein Interactions, Current Topics in Medicinal Chemistry 2007; 7 (1) . https://dx.doi.org/10.2174/156802607779318334