Literature DB >> 25285479

Which three-dimensional characteristics make efficient inhibitors of protein-protein interactions?

Mélaine A Kuenemann1, Laura M L Bourbon, Céline M Labbé, Bruno O Villoutreix, Olivier Sperandio.   

Abstract

The specific properties of protein-protein interactions (PPI) (flat, large and hydrophobic) make them harder to tackle with low-molecular-weight compounds. Learning from the properties of successful examples of PPI interface inhibitors (iPPI) at earlier stages of developments, has been pinpointed as a powerful strategy to circumvent this trend. To this end, we have computationally analyzed the bioactive conformations of iPPI and those of inhibitors of conventional targets (e.g enzymes) to highlight putative iPPI 3D characteristics. Most noticeably, the essential property revealed by this study illustrates how efficiently iPPI manages to bind to the hydrophobic patch often present at the core of protein interfaces. The newly identified properties were further confirmed as characteristics of iPPI using much larger data sets (e.g iPPI-DB, www.ippidb.cdithem.fr ). Interestingly, the absence of correlation of such properties with the hydrophobicity and the size of the compounds opens new ways to design potent iPPI with better pharmacokinetic features.

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Year:  2014        PMID: 25285479     DOI: 10.1021/ci500487q

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  20 in total

1.  Fr-PPIChem: An Academic Compound Library Dedicated to Protein-Protein Interactions.

Authors:  Nicolas Bosc; Christophe Muller; Laurent Hoffer; David Lagorce; Stéphane Bourg; Carine Derviaux; Marie-Edith Gourdel; Jean-Christophe Rain; Thomas W Miller; Bruno O Villoutreix; Maria A Miteva; Pascal Bonnet; Xavier Morelli; Olivier Sperandio; Philippe Roche
Journal:  ACS Chem Biol       Date:  2020-05-05       Impact factor: 5.100

Review 2.  In silico structure-based approaches to discover protein-protein interaction-targeting drugs.

Authors:  Woong-Hee Shin; Charles W Christoffer; Daisuke Kihara
Journal:  Methods       Date:  2017-08-09       Impact factor: 3.608

3.  Predictive compound accumulation rules yield a broad-spectrum antibiotic.

Authors:  Michelle F Richter; Bryon S Drown; Andrew P Riley; Alfredo Garcia; Tomohiro Shirai; Riley L Svec; Paul J Hergenrother
Journal:  Nature       Date:  2017-05-10       Impact factor: 49.962

4.  Analysis of physicochemical properties of protein-protein interaction modulators suggests stronger alignment with the "rule of five".

Authors:  Jia Truong; Ashwin George; Jessica K Holien
Journal:  RSC Med Chem       Date:  2021-07-27

5.  Access to a Structurally Complex Compound Collection via Ring Distortion of the Alkaloid Sinomenine.

Authors:  Alfredo Garcia; Bryon S Drown; Paul J Hergenrother
Journal:  Org Lett       Date:  2016-09-21       Impact factor: 6.005

6.  Rhodium-Catalyzed [4 + 1] Cyclization via C-H Activation for the Synthesis of Divergent Heterocycles Bearing a Quaternary Carbon.

Authors:  Xiaowei Wu; Haitao Ji
Journal:  J Org Chem       Date:  2018-04-09       Impact factor: 4.354

7.  Structure- and ligand-based virtual screening identifies new scaffolds for inhibitors of the oncoprotein MDM2.

Authors:  Douglas R Houston; Li-Hsuan Yen; Simon Pettit; Malcolm D Walkinshaw
Journal:  PLoS One       Date:  2015-04-17       Impact factor: 3.240

Review 8.  Overcoming Chemical, Biological, and Computational Challenges in the Development of Inhibitors Targeting Protein-Protein Interactions.

Authors:  Luca Laraia; Grahame McKenzie; David R Spring; Ashok R Venkitaraman; David J Huggins
Journal:  Chem Biol       Date:  2015-06-18

9.  An Intriguing Correlation Based on the Superimposition of Residue Pairs with Inhibitors that Target Protein-Protein Interfaces.

Authors:  Masakazu Nakadai; Shuta Tomida; Kazuhisa Sekimizu
Journal:  Sci Rep       Date:  2016-01-04       Impact factor: 4.379

10.  Imbalance in chemical space: How to facilitate the identification of protein-protein interaction inhibitors.

Authors:  Mélaine A Kuenemann; Céline M Labbé; Adrien H Cerdan; Olivier Sperandio
Journal:  Sci Rep       Date:  2016-04-01       Impact factor: 4.379

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