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本文引用的文献

1
Proteome-wide prediction of overlapping small molecule and protein binding sites using structure.利用结构对小分子与蛋白质重叠结合位点进行全蛋白质组预测。
Mol Biosyst. 2011 Feb;7(2):545-57. doi: 10.1039/c0mb00200c. Epub 2010 Nov 24.
2
DrugBank 3.0: a comprehensive resource for 'omics' research on drugs.药物银行3.0:药物“组学”研究的综合资源。
Nucleic Acids Res. 2011 Jan;39(Database issue):D1035-41. doi: 10.1093/nar/gkq1126. Epub 2010 Nov 8.
3
The protein common interface database (ProtCID)--a comprehensive database of interactions of homologous proteins in multiple crystal forms.蛋白质公共界面数据库(ProtCID)——一个关于多种晶体形式同源蛋白质相互作用的综合数据库。
Nucleic Acids Res. 2011 Jan;39(Database issue):D761-70. doi: 10.1093/nar/gkq1059. Epub 2010 Oct 29.
4
Knowledge-based annotation of small molecule binding sites in proteins.基于知识的蛋白质中小分子结合位点注释。
BMC Bioinformatics. 2010 Jul 1;11:365. doi: 10.1186/1471-2105-11-365.
5
Identification and structure of small-molecule stabilizers of 14-3-3 protein-protein interactions.14-3-3蛋白-蛋白相互作用的小分子稳定剂的鉴定与结构
Angew Chem Int Ed Engl. 2010 Jun 1;49(24):4129-32. doi: 10.1002/anie.200907203.
6
Atomic analysis of protein-protein interfaces with known inhibitors: the 2P2I database.具有已知抑制剂的蛋白质-蛋白质界面的原子分析:2P2I 数据库。
PLoS One. 2010 Mar 9;5(3):e9598. doi: 10.1371/journal.pone.0009598.
7
Designing focused chemical libraries enriched in protein-protein interaction inhibitors using machine-learning methods.使用机器学习方法设计富含蛋白质-蛋白质相互作用抑制剂的聚焦化学文库。
PLoS Comput Biol. 2010 Mar 5;6(3):e1000695. doi: 10.1371/journal.pcbi.1000695.
8
The overlap of small molecule and protein binding sites within families of protein structures.蛋白质结构家族中小分子和蛋白质结合位点的重叠。
PLoS Comput Biol. 2010 Feb 5;6(2):e1000668. doi: 10.1371/journal.pcbi.1000668.
9
Structural discovery of small molecule binding sites in Cu-Zn human superoxide dismutase familial amyotrophic lateral sclerosis mutants provides insights for lead optimization.小分子结合在 Cu-Zn 人类超氧化物歧化酶家族性肌萎缩侧索硬化症突变体中的结构发现为先导优化提供了思路。
J Med Chem. 2010 Feb 11;53(3):1402-6. doi: 10.1021/jm9017948.
10
Annotation error in public databases: misannotation of molecular function in enzyme superfamilies.公共数据库中的注释错误:酶超家族中分子功能的错误注释。
PLoS Comput Biol. 2009 Dec;5(12):e1000605. doi: 10.1371/journal.pcbi.1000605. Epub 2009 Dec 11.

用小分子调节蛋白质-蛋白质相互作用:结合热点的重要性。

Modulating protein-protein interactions with small molecules: the importance of binding hotspots.

机构信息

National Center for Biotechnology Information, National Institutes of Health, 8600 Rockville Pike, Building 38A, Bethesda, MD 20894, USA.

出版信息

J Mol Biol. 2012 Jan 13;415(2):443-53. doi: 10.1016/j.jmb.2011.12.026. Epub 2011 Dec 16.

DOI:10.1016/j.jmb.2011.12.026
PMID:22198293
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3433052/
Abstract

The modulation of protein-protein interactions (PPIs) by small drug-like molecules is a relatively new area of research and has opened up new opportunities in drug discovery. However, the progress made in this area is limited to a handful of known cases of small molecules that target specific diseases. With the increasing availability of protein structure complexes, it is highly important to devise strategies exploiting homologous structure space on a large scale for discovering putative PPIs that could be attractive drug targets. Here, we propose a scheme that allows performing large-scale screening of all protein complexes and finding putative small-molecule and/or peptide binding sites overlapping with protein-protein binding sites (so-called "multibinding sites"). We find more than 600 nonredundant proteins from 60 protein families with multibinding sites. Moreover, we show that the multibinding sites are mostly observed in transient complexes, largely overlap with the binding hotspots and are more evolutionarily conserved than other interface sites. We investigate possible mechanisms of how small molecules may modulate protein-protein binding and discuss examples of new candidates for drug design.

摘要

小分子调节蛋白质-蛋白质相互作用(PPIs)是一个相对较新的研究领域,为药物发现开辟了新的机会。然而,这一领域的进展仅限于少数几种针对特定疾病的靶向小分子。随着越来越多的蛋白质结构复合物的出现,设计利用大规模同源结构空间的策略来发现可能成为有吸引力的药物靶点的假定 PPI 变得非常重要。在这里,我们提出了一种方案,允许对所有蛋白质复合物进行大规模筛选,并找到与蛋白质-蛋白质结合位点重叠的假定小分子和/或肽结合位点(所谓的“多结合位点”)。我们从 60 个蛋白质家族中发现了 600 多个非冗余蛋白质具有多结合位点。此外,我们表明,多结合位点主要存在于瞬态复合物中,与结合热点大部分重叠,并且比其他界面位点更具进化保守性。我们研究了小分子可能调节蛋白质-蛋白质结合的可能机制,并讨论了药物设计的新候选药物的例子。