Literature DB >> 18393867

In silico-in vitro screening of protein-protein interactions: towards the next generation of therapeutics.

Bruno O Villoutreix1, Karine Bastard, Olivier Sperandio, Robin Fahraeus, Jean-Luc Poyet, Fabien Calvo, Benoit Déprez, Maria A Miteva.   

Abstract

Protein-protein interactions (PPIs) have a pivotal role in many biological processes suggesting that targeting macromolecular complexes will open new avenues for the design of the next generation of therapeutics. A wide range of "in silico methods" can be used to facilitate the design of protein-protein modulators. Among these methods, virtual ligand screening, protein-protein docking, structural predictions and druggable pocket predictions have become established techniques for hit discovery and optimization. In this review, we first summarize some key data about protein-protein interfaces and introduce some recently reported computer methods pertaining to the field. URLs for several recent free packages or servers are also provided. Then, we discuss four studies aiming at developing PPI modulators through the combination of in silico and in vitro screening experiments.

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Year:  2008        PMID: 18393867     DOI: 10.2174/138920108783955218

Source DB:  PubMed          Journal:  Curr Pharm Biotechnol        ISSN: 1389-2010            Impact factor:   2.837


  20 in total

1.  Exploring NMR ensembles of calcium binding proteins: perspectives to design inhibitors of protein-protein interactions.

Authors:  Adriana Isvoran; Anne Badel; Constantin T Craescu; Simona Miron; Maria A Miteva
Journal:  BMC Struct Biol       Date:  2011-05-12

Review 2.  Oncogenic protein interfaces: small molecules, big challenges.

Authors:  Tracy L Nero; Craig J Morton; Jessica K Holien; Jerome Wielens; Michael W Parker
Journal:  Nat Rev Cancer       Date:  2014-03-13       Impact factor: 60.716

Review 3.  Myostatin and its Regulation: A Comprehensive Review of Myostatin Inhibiting Strategies.

Authors:  Mohammad Hassan Baig; Khurshid Ahmad; Jun Sung Moon; So-Young Park; Jeong Ho Lim; Hee Jin Chun; Afsha Fatima Qadri; Ye Chan Hwang; Arif Tasleem Jan; Syed Sayeed Ahmad; Shahid Ali; Sibhghatulla Shaikh; Eun Ju Lee; Inho Choi
Journal:  Front Physiol       Date:  2022-06-23       Impact factor: 4.755

4.  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

5.  Modeling effects of human single nucleotide polymorphisms on protein-protein interactions.

Authors:  Shaolei Teng; Thomas Madej; Anna Panchenko; Emil Alexov
Journal:  Biophys J       Date:  2009-03-18       Impact factor: 4.033

Review 6.  Residue-based pharmacophore approaches to study protein-protein interactions.

Authors:  Rojan Shrestha; Jorge Eduardo Fajardo; Andras Fiser
Journal:  Curr Opin Struct Biol       Date:  2021-01-22       Impact factor: 6.809

7.  Tyrosine kinase syk non-enzymatic inhibitors and potential anti-allergic drug-like compounds discovered by virtual and in vitro screening.

Authors:  Bruno O Villoutreix; Guillaume Laconde; David Lagorce; Pierre Martineau; Maria A Miteva; Piona Dariavach
Journal:  PLoS One       Date:  2011-06-20       Impact factor: 3.240

8.  Computer applications for prediction of protein-protein interactions and rational drug design.

Authors:  Solène Grosdidier; Max Totrov; Juan Fernández-Recio
Journal:  Adv Appl Bioinform Chem       Date:  2009-11-10

9.  Fpocket: an open source platform for ligand pocket detection.

Authors:  Vincent Le Guilloux; Peter Schmidtke; Pierre Tuffery
Journal:  BMC Bioinformatics       Date:  2009-06-02       Impact factor: 3.169

10.  Computational analysis of protein-protein interfaces involving an alpha helix: insights for terphenyl-like molecules binding.

Authors:  Adriana Isvoran; Dana Craciun; Virginie Martiny; Olivier Sperandio; Maria A Miteva
Journal:  BMC Pharmacol Toxicol       Date:  2013-06-14       Impact factor: 2.483

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