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Engineering selective competitors for the discrimination of highly conserved protein-protein interaction modules

Authors :
Daniel Choquet
Kashyap Maruthi
Christelle Breillat
Isabel Gauthereau
Matthieu Sainlos
Stéphane Claverol
Ségolène Antoine
Coraline Thibaut
Cameron D. Mackereth
Benjamin Dartigues
Christel Poujol
Charlotte Rimbault
Camille Genuer
Fabienne Wong Jun Tai
Sara Crespillo
Ingrid Chamma
Virginia Puente-Muñoz
Dolors Grillo-Bosch
Interdisciplinary Institute for Neuroscience (IINS)
Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)
Acides Nucléiques : Régulations Naturelle et Artificielle (ARNA)
Université de Bordeaux (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)
Institut Européen de Chimie et Biologie (IECB)
Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM)
Centre de Bioinformatique de Bordeaux (CBIB)
CGFB
Plateforme génomique fonctionnelle (PGFB)
Université Bordeaux Segalen - Bordeaux 2
Bordeaux Imaging Center (BIC)
Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut François Magendie-Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)
Université de Bordeaux (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)
Université de Bordeaux (UB)-Institut François Magendie-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)
Sainlos, Matthieu
Source :
Nature Communications, Vol 10, Iss 1, Pp 1-20 (2019), Nature Communications, Nature Communications, Nature Publishing Group, 2019, 10 (1), pp.4521. ⟨10.1038/s41467-019-12528-4⟩, DOAJ-Articles, Datacite, Hyper Article en Ligne, PubMed Central, Mémoires en Sciences de l'Information et de la Communication, UnpayWall, ORCID, Microsoft Academic Graph, HAL-Inserm, Nature Communications, 2019, 10 (1), pp.4521. ⟨10.1038/s41467-019-12528-4⟩
Publication Year :
2019
Publisher :
Nature Portfolio, 2019.

Abstract

Developing inhibitors that target specific protein-protein interactions (PPIs) is challenging. Here, the authors show that target selectivity and PPI blocking can be achieved simultaneously with PPI inhibitors that contain two functional modules, and create a paralog-selective PSD-95 inhibitor as proof-of-concept.<br />Designing highly specific modulators of protein-protein interactions (PPIs) is especially challenging in the context of multiple paralogs and conserved interaction surfaces. In this case, direct generation of selective and competitive inhibitors is hindered by high similarity within the evolutionary-related protein interfaces. We report here a strategy that uses a semi-rational approach to separate the modulator design into two functional parts. We first achieve specificity toward a region outside of the interface by using phage display selection coupled with molecular and cellular validation. Highly selective competition is then generated by appending the more degenerate interaction peptide to contact the target interface. We apply this approach to specifically bind a single PDZ domain within the postsynaptic protein PSD-95 over highly similar PDZ domains in PSD-93, SAP-97 and SAP-102. Our work provides a paralog-selective and domain specific inhibitor of PSD-95, and describes a method to efficiently target other conserved PPI modules.

Details

Language :
English
ISSN :
20411723
Volume :
10
Issue :
1
Database :
OpenAIRE
Journal :
Nature Communications
Accession number :
edsair.doi.dedup.....1a0830dd8888ab0862373c88a22f40e1
Full Text :
https://doi.org/10.1038/s41467-019-12528-4⟩