PatchSearch: a web server for off-target protein identification.


Journal

Nucleic acids research
ISSN: 1362-4962
Titre abrégé: Nucleic Acids Res
Pays: England
ID NLM: 0411011

Informations de publication

Date de publication:
02 07 2019
Historique:
accepted: 21 05 2019
revised: 26 04 2019
received: 22 02 2019
pubmed: 28 5 2019
medline: 19 5 2020
entrez: 28 5 2019
Statut: ppublish

Résumé

The large number of proteins found in the human body implies that a drug may interact with many proteins, called off-target proteins, besides its intended target. The PatchSearch web server provides an automated workflow that allows users to identify structurally conserved binding sites at the protein surfaces in a set of user-supplied protein structures. Thus, this web server may help to detect potential off-target protein. It takes as input a protein complexed with a ligand and identifies within user-defined or predefined collections of protein structures, those having a binding site compatible with this ligand in terms of geometry and physicochemical properties. It is based on a non-sequential local alignment of the patch over the entire protein surface. Then the PatchSearch web server proposes a ligand binding mode for the potential off-target, as well as an estimated affinity calculated by the Vinardo scoring function. This novel tool is able to efficiently detects potential interactions of ligands with distant off-target proteins. Furthermore, by facilitating the discovery of unexpected off-targets, PatchSearch could contribute to the repurposing of existing drugs. The server is freely available at http://bioserv.rpbs.univ-paris-diderot.fr/services/PatchSearch.

Identifiants

pubmed: 31131411
pii: 5498752
doi: 10.1093/nar/gkz478
pmc: PMC6602448
doi:

Substances chimiques

Drugs, Investigational 0
Ligands 0
Proteins 0
Small Molecule Libraries 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

W365-W372

Informations de copyright

© The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research.

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Auteurs

Julien Rey (J)

Université Paris Diderot, Sorbonne Paris Cité, INSERM UMRS-973, Molécules Thérapeutiques in silico (MTi), F-75205 Paris, France.
Ressource Parisienne en Bioinformatique Structurale (RPBS), Paris, France.

Inès Rasolohery (I)

Université Paris Diderot, Sorbonne Paris Cité, INSERM UMRS-973, Molécules Thérapeutiques in silico (MTi), F-75205 Paris, France.

Pierre Tufféry (P)

Université Paris Diderot, Sorbonne Paris Cité, INSERM UMRS-973, Molécules Thérapeutiques in silico (MTi), F-75205 Paris, France.
Ressource Parisienne en Bioinformatique Structurale (RPBS), Paris, France.

Frédéric Guyon (F)

Université Paris Diderot, Sorbonne Paris Cité, INSERM UMRS-973, Molécules Thérapeutiques in silico (MTi), F-75205 Paris, France.

Gautier Moroy (G)

Université Paris Diderot, Sorbonne Paris Cité, INSERM UMRS-973, Molécules Thérapeutiques in silico (MTi), F-75205 Paris, France.

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