Literature DB >> 18537679

Drug-like inhibitors of protein-protein interactions: a structural examination of effective protein mimicry.

D C Fry1.   

Abstract

Protein-protein interactions represent targets for drug discovery that are highly relevant in a biological sense, but have proven difficult in a practical sense. Nevertheless, there have been recent successes in discovering drug-like small molecule inhibitors of protein-protein systems. To build on this progress, it is worth analyzing successful cases to understand at a molecular level the strategies by which these compounds effectively interfere with protein-protein pairing. A commonly observed situation is one wherein the small molecule acts as a direct mimic of one of the protein partners. This review focuses exclusively on cases where this strategy is employed, and examines the structural characteristics of the binding sites and the conformational attributes of the small molecule ligands. Common traits shared among these successful examples are identified, and formulated into potentially useful guidance for drug discovery efforts within this target class.

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Year:  2008        PMID: 18537679     DOI: 10.2174/138920308784533989

Source DB:  PubMed          Journal:  Curr Protein Pept Sci        ISSN: 1389-2037            Impact factor:   3.272


  21 in total

Review 1.  Rationally designed peptide regulators of protein kinase C.

Authors:  Eric N Churchill; Nir Qvit; Daria Mochly-Rosen
Journal:  Trends Endocrinol Metab       Date:  2008-12-04       Impact factor: 12.015

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

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

Review 3.  Toward Small-Molecule Inhibition of Protein-Protein Interactions: General Aspects and Recent Progress in Targeting Costimulatory and Coinhibitory (Immune Checkpoint) Interactions.

Authors:  Damir Bojadzic; Peter Buchwald
Journal:  Curr Top Med Chem       Date:  2018       Impact factor: 3.295

4.  Interaction Energetics and Druggability of the Protein-Protein Interaction between Kelch-like ECH-Associated Protein 1 (KEAP1) and Nuclear Factor Erythroid 2 Like 2 (Nrf2).

Authors:  Mengqi Zhong; Andrew Lynch; Samantha N Muellers; Stefan Jehle; Lingqi Luo; David R Hall; Reina Iwase; James P Carolan; Megan Egbert; Amanda Wakefield; Kristina Streu; Christine M Harvey; Paula C Ortet; Dima Kozakov; Sandor Vajda; Karen N Allen; Adrian Whitty
Journal:  Biochemistry       Date:  2020-01-02       Impact factor: 3.162

5.  Targeting the cis-dimerization of LINGO-1 with low MW compounds affects its downstream signalling.

Authors:  L Cobret; M L De Tauzia; J Ferent; E Traiffort; I Hénaoui; F Godin; E Kellenberger; D Rognan; J Pantel; H Bénédetti; S Morisset-Lopez
Journal:  Br J Pharmacol       Date:  2014-12-15       Impact factor: 8.739

6.  Design, synthesis, and validation of a β-turn mimetic library targeting protein-protein and peptide-receptor interactions.

Authors:  Landon R Whitby; Yoshio Ando; Vincent Setola; Peter K Vogt; Bryan L Roth; Dale L Boger
Journal:  J Am Chem Soc       Date:  2011-06-15       Impact factor: 15.419

7.  Atomic analysis of protein-protein interfaces with known inhibitors: the 2P2I database.

Authors:  Raphaël Bourgeas; Marie-Jeanne Basse; Xavier Morelli; Philippe Roche
Journal:  PLoS One       Date:  2010-03-09       Impact factor: 3.240

8.  Designing focused chemical libraries enriched in protein-protein interaction inhibitors using machine-learning methods.

Authors:  Christelle Reynès; Hélène Host; Anne-Claude Camproux; Guillaume Laconde; Florence Leroux; Anne Mazars; Benoit Deprez; Robin Fahraeus; Bruno O Villoutreix; Olivier Sperandio
Journal:  PLoS Comput Biol       Date:  2010-03-05       Impact factor: 4.475

9.  4,4'-Unsymmetrically substituted 3,3'-biphenyl alpha helical proteomimetics as potential coactivator binding inhibitors.

Authors:  Patrick T Weiser; Ching-Yi Chang; Donald P McDonnell; Robert N Hanson
Journal:  Bioorg Med Chem       Date:  2013-11-08       Impact factor: 3.641

10.  Assessing the druggability of protein-protein interactions by a supervised machine-learning method.

Authors:  Nobuyoshi Sugaya; Kazuyoshi Ikeda
Journal:  BMC Bioinformatics       Date:  2009-08-25       Impact factor: 3.169

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