Literature DB >> 22650257

Modulating protein-protein interactions: from structural determinants of binding to druggability prediction to application.

Alexander Metz1, Emanuele Ciglia, Holger Gohlke.   

Abstract

During the last decades, a large amount of evidence has been gathered on the importance of protein-protein interactions in tuning and regulating most important biological processes. Since many of these pathways are deeply involved in diseases, extensive research efforts have been undertaken towards the modulation of protein-protein interactions. At the early stage of this challenge most of the attention was drawn to the drawbacks of such a therapeutic approach. Encouragingly, however, several recent studies provided a proof of concept that protein-protein interactions are actually valuable targets and that they do have a promising therapeutic potential. This review is divided into three sections. In the first section we summarize the general features of protein-protein interfaces, focusing on the characteristics that make them different from classical protein-ligand binding sites, as well as on problematic aspects that hamper the application of classical drug discovery approaches. In the second section, we present how some of the characteristics of protein-protein interactions can be exploited fruitfully in drug design, hence focusing on the druggability of protein-protein interfaces. Methods successfully applied to protein-protein interactions will be introduced, giving special attention to the computational ones. In the third section, three case studies are presented. First, we describe protein-protein interaction modulators targeting HDM2 and the computational methods applied to identify them. Next, we present the retrospective application of the discussed approaches on the well-examined target IL-2. We conclude with a prospective application to the NHR2 protein, a target just recently validated experimentally with the aid of computational methods.

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Year:  2012        PMID: 22650257     DOI: 10.2174/138161212802651553

Source DB:  PubMed          Journal:  Curr Pharm Des        ISSN: 1381-6128            Impact factor:   3.116


  18 in total

1.  2P2I HUNTER: a tool for filtering orthosteric protein-protein interaction modulators via a dedicated support vector machine.

Authors:  Véronique Hamon; Raphael Bourgeas; Pierre Ducrot; Isabelle Theret; Laura Xuereb; Marie Jeanne Basse; Jean Michel Brunel; Sebastien Combes; Xavier Morelli; Philippe Roche
Journal:  J R Soc Interface       Date:  2013-11-06       Impact factor: 4.118

Review 2.  An overview of recent molecular dynamics applications as medicinal chemistry tools for the undruggable site challenge.

Authors:  Ugo Perricone; Maria Rita Gulotta; Jessica Lombino; Barbara Parrino; Stella Cascioferro; Patrizia Diana; Girolamo Cirrincione; Alessandro Padova
Journal:  Medchemcomm       Date:  2018-04-19       Impact factor: 3.597

3.  Targeting HSP90 dimerization via the C terminus is effective in imatinib-resistant CML and lacks the heat shock response.

Authors:  Sanil Bhatia; Daniela Diedrich; Benedikt Frieg; Heinz Ahlert; Stefan Stein; Bertan Bopp; Franziska Lang; Tao Zang; Tobias Kröger; Thomas Ernst; Gesine Kögler; Andreas Krieg; Steffen Lüdeke; Hana Kunkel; Ana J Rodrigues Moita; Matthias U Kassack; Viktoria Marquardt; Friederike V Opitz; Marina Oldenburg; Marc Remke; Florian Babor; Manuel Grez; Andreas Hochhaus; Arndt Borkhardt; Georg Groth; Luitgard Nagel-Steger; Joachim Jose; Thomas Kurz; Holger Gohlke; Finn K Hansen; Julia Hauer
Journal:  Blood       Date:  2018-05-03       Impact factor: 22.113

4.  Scaling the druggability landscape of human bromodomains, a new class of drug targets.

Authors:  Guangtao Zhang; Roberto Sanchez; Ming-Ming Zhou
Journal:  J Med Chem       Date:  2012-08-28       Impact factor: 7.446

5.  A Computational Investigation of Small-Molecule Engagement of Hot Spots at Protein-Protein Interaction Interfaces.

Authors:  David Xu; Yubing Si; Samy O Meroueh
Journal:  J Chem Inf Model       Date:  2017-08-29       Impact factor: 4.956

6.  Resolving hot spots in the C-terminal dimerization domain that determine the stability of the molecular chaperone Hsp90.

Authors:  Emanuele Ciglia; Janina Vergin; Sven Reimann; Sander H J Smits; Lutz Schmitt; Georg Groth; Holger Gohlke
Journal:  PLoS One       Date:  2014-04-23       Impact factor: 3.240

7.  The scoring of poses in protein-protein docking: current capabilities and future directions.

Authors:  Iain H Moal; Mieczyslaw Torchala; Paul A Bates; Juan Fernández-Recio
Journal:  BMC Bioinformatics       Date:  2013-10-01       Impact factor: 3.169

Review 8.  Drug-Like Protein-Protein Interaction Modulators: Challenges and Opportunities for Drug Discovery and Chemical Biology.

Authors:  Bruno O Villoutreix; Melaine A Kuenemann; Jean-Luc Poyet; Heriberto Bruzzoni-Giovanelli; Céline Labbé; David Lagorce; Olivier Sperandio; Maria A Miteva
Journal:  Mol Inform       Date:  2014-06-02       Impact factor: 3.353

9.  BeAtMuSiC: Prediction of changes in protein-protein binding affinity on mutations.

Authors:  Yves Dehouck; Jean Marc Kwasigroch; Marianne Rooman; Dimitri Gilis
Journal:  Nucleic Acids Res       Date:  2013-05-30       Impact factor: 16.971

10.  DrugScorePPI knowledge-based potentials used as scoring and objective function in protein-protein docking.

Authors:  Dennis M Krüger; José Ignacio Garzón; Pablo Chacón; Holger Gohlke
Journal:  PLoS One       Date:  2014-02-21       Impact factor: 3.240

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