Literature DB >> 17266596

Computational identification of inhibitors of protein-protein interactions.

Shijun Zhong1, Alba T Macias, Alexander D MacKerell.   

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 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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Year:  2007        PMID: 17266596     DOI: 10.2174/156802607779318334

Source DB:  PubMed          Journal:  Curr Top Med Chem        ISSN: 1568-0266            Impact factor:   3.295


  25 in total

1.  Balancing target flexibility and target denaturation in computational fragment-based inhibitor discovery.

Authors:  Theresa J Foster; Alexander D MacKerell; Olgun Guvench
Journal:  J Comput Chem       Date:  2012-05-28       Impact factor: 3.376

Review 2.  Knitting and untying the protein network: modulation of protein ensembles as a therapeutic strategy.

Authors:  Susana Gordo; Ernest Giralt
Journal:  Protein Sci       Date:  2009-03       Impact factor: 6.725

Review 3.  G protein betagamma subunits as targets for small molecule therapeutic development.

Authors:  Alan V Smrcka; David M Lehmann; Axel L Dessal
Journal:  Comb Chem High Throughput Screen       Date:  2008-06       Impact factor: 1.339

4.  Identifying fragilities in biochemical networks: robust performance analysis of Fas signaling-induced apoptosis.

Authors:  Jason E Shoemaker; Francis J Doyle
Journal:  Biophys J       Date:  2008-06-06       Impact factor: 4.033

5.  The SCHOOL of nature: III. From mechanistic understanding to novel therapies.

Authors:  Alexander B Sigalov
Journal:  Self Nonself       Date:  2010-06-11

6.  Protein-protein interactions: making drug design second nature.

Authors:  Dan L Sackett; David Sept
Journal:  Nat Chem       Date:  2009-11       Impact factor: 24.427

7.  A small-molecule inhibitor of BCL6 kills DLBCL cells in vitro and in vivo.

Authors:  Leandro C Cerchietti; Alexandru F Ghetu; Xiao Zhu; Gustavo F Da Silva; Shijun Zhong; Marilyn Matthews; Karen L Bunting; Jose M Polo; Christophe Farès; Cheryl H Arrowsmith; Shao Ning Yang; Monica Garcia; Andrew Coop; Alexander D Mackerell; Gilbert G Privé; Ari Melnick
Journal:  Cancer Cell       Date:  2010-04-13       Impact factor: 31.743

8.  Computer-Aided Drug Design Methods.

Authors:  Wenbo Yu; Alexander D MacKerell
Journal:  Methods Mol Biol       Date:  2017

9.  Protein pockets: inventory, shape, and comparison.

Authors:  Ryan G Coleman; Kim A Sharp
Journal:  J Chem Inf Model       Date:  2010-04-26       Impact factor: 4.956

10.  Targeting NAD biosynthesis in bacterial pathogens: Structure-based development of inhibitors of nicotinate mononucleotide adenylyltransferase NadD.

Authors:  Leonardo Sorci; Yongping Pan; Yvonne Eyobo; Irina Rodionova; Nian Huang; Oleg Kurnasov; Shijun Zhong; Alexander D MacKerell; Hong Zhang; Andrei L Osterman
Journal:  Chem Biol       Date:  2009-08-28
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