Villoutreix Bruno O, Kuenemann Melaine A, Poyet Jean-Luc, Bruzzoni-Giovanelli Heriberto, Labbé Céline, Lagorce David, Sperandio Olivier, Miteva Maria A
Université Paris Diderot, Sorbonne Paris Cité UMRS 973 Inserm, Paris 75013, France ; Inserm, U973, Paris 75013 France ; CDithem, Faculté de Pharmacie, 1 rue du Prof Laguesse 59000 Lille, France.
Université Paris Diderot, Sorbonne Paris Cité UMRS 973 Inserm, Paris 75013, France ; Inserm, U973, Paris 75013 France.
Mol Inform. 2014 Jun;33(6-7):414-437. doi: 10.1002/minf.201400040. Epub 2014 Jun 2.
[Formula: see text] Fundamental processes in living cells are largely controlled by macromolecular interactions and among them, protein-protein interactions (PPIs) have a critical role while their dysregulations can contribute to the pathogenesis of numerous diseases. Although PPIs were considered as attractive pharmaceutical targets already some years ago, they have been thus far largely unexploited for therapeutic interventions with low molecular weight compounds. Several limiting factors, from technological hurdles to conceptual barriers, are known, which, taken together, explain why research in this area has been relatively slow. However, this last decade, the scientific community has challenged the dogma and became more enthusiastic about the modulation of PPIs with small drug-like molecules. In fact, several success stories were reported both, at the preclinical and clinical stages. In this review article, written for the 2014 International Summer School in Chemoinformatics (Strasbourg, France), we discuss in silico tools (essentially post 2012) and databases that can assist the design of low molecular weight PPI modulators (these tools can be found at www.vls3d.com). We first introduce the field of protein-protein interaction research, discuss key challenges and comment recently reported in silico packages, protocols and databases dedicated to PPIs. Then, we illustrate how in silico methods can be used and combined with experimental work to identify PPI modulators.
[公式:见正文] 活细胞中的基本过程在很大程度上受大分子相互作用的控制,其中蛋白质-蛋白质相互作用(PPI)起着关键作用,而其失调可能导致多种疾病的发病机制。尽管几年前PPI就被认为是有吸引力的药物靶点,但迄今为止,它们在很大程度上尚未被用于低分子量化合物的治疗干预。已知有几个限制因素,从技术障碍到概念障碍,综合起来解释了为什么该领域的研究进展相对缓慢。然而,在过去十年中,科学界对这一教条提出了挑战,并对用类似药物的小分子调节PPI变得更加热情。事实上,在临床前和临床阶段都报道了几个成功案例。在这篇为2014年化学信息学国际暑期学校(法国斯特拉斯堡)撰写的综述文章中,我们讨论了可协助设计低分子量PPI调节剂的计算机工具(主要是2012年以后的)和数据库(这些工具可在www.vls3d.com上找到)。我们首先介绍蛋白质-蛋白质相互作用研究领域,讨论关键挑战,并对最近报道的专门用于PPI的计算机软件包、方案和数据库进行评论。然后,我们说明如何使用计算机方法并将其与实验工作相结合来识别PPI调节剂。