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.
Nucleic Acids Res. 2019 Jul 2;47(W1):W365-W372. doi: 10.1093/nar/gkz478.
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.
人体内发现的大量蛋白质意味着一种药物可能会与其预定的靶标以外的许多蛋白质(称为脱靶蛋白)相互作用。PatchSearch 网络服务器提供了一个自动化的工作流程,允许用户在一组用户提供的蛋白质结构中识别蛋白质表面上结构保守的结合位点。因此,这个网络服务器可以帮助检测潜在的脱靶蛋白。它的输入是一个与配体结合的蛋白质,并在用户定义或预定义的蛋白质结构集合中识别出那些在几何形状和物理化学性质方面与该配体兼容的结合位点。它基于对整个蛋白质表面的补丁的非顺序局部比对。然后,PatchSearch 网络服务器为潜在的脱靶蛋白提出配体结合模式,以及通过 Vinardo 评分函数计算的估计亲和力。这个新工具能够有效地检测配体与远距离脱靶蛋白的潜在相互作用。此外,通过促进对意外脱靶蛋白的发现,PatchSearch 可以为现有药物的再利用做出贡献。该服务器可在 http://bioserv.rpbs.univ-paris-diderot.fr/services/PatchSearch 免费获得。