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鉴定与硬化蛋白环2区域结合的新型小分子——计算机模拟分析

Identification of novel small molecules that bind to the loop2 region of sclerostin - an in silico computational analysis.

作者信息

Muthusamy K, Mohan S, Nagamani S, Kesavan C

机构信息

Department of Bioinformatics, Alagappa University, Karaikudi, India; Musculoskeletal Disease Center, VA Loma Linda Healthcare System, Research Service, Loma Linda, CA, USA.

出版信息

Physiol Res. 2016 Nov 23;65(5):871-878. doi: 10.33549/physiolres.933267. Epub 2016 Jul 15.

Abstract

The goal of this study was to identify small molecular weight compounds that bind to sclerostin using in-silico methods because of the established importance of sclerostin-based therapies for the treatment of disease characterized by low bone mass. The zinc database (Zdb) revealed that nine potential molecules bind to the loop2 region (functional site) of sclerostin with ADME/T properties that are within an acceptable range defined for human use. Compounds 30160056 and 56871042 showed the highest docking score. Density functional theory (by HOMO, LUMO and MESP analysis) and MM/GBSA analysis showed that four compounds 30160056, 56871042, 72112226 and 43920281 exhibit high stability among the nine small molecules identified. Induced Docking Fit and Pymol software analyses revealed that the identified compounds differ in the interaction with amino acids in the loop2 region of sclerostin. Six compound exhibited interaction with Ile95 and 2 compounds with Asn93, an amino acid in the loop2 region known to be involved in sclerostin's inhibitory effect, suggesting that the identified compounds have the potential to bind and neutralize sclerostin function. Furthermore, compound 43920281 showed a low risk of toxicity and drug-like characteristic features compared to all nine identified compounds. In conclusion, in silico analysis identified a novel compound 43920281 as a potent anti-sclerostin therapeutic for drug development for the treatment of osteoporosis.

摘要

由于基于硬化蛋白的疗法对于治疗以低骨量为特征的疾病具有既定的重要性,本研究的目标是使用计算机模拟方法鉴定与硬化蛋白结合的小分子化合物。锌数据库(Zdb)显示,9种潜在分子与硬化蛋白的loop2区域(功能位点)结合,其ADME/T特性在为人类使用定义的可接受范围内。化合物30160056和56871042显示出最高的对接分数。密度泛函理论(通过HOMO、LUMO和MESP分析)和MM/GBSA分析表明,在鉴定出的9种小分子中,4种化合物30160056、56871042、72112226和43920281表现出高稳定性。诱导对接拟合和Pymol软件分析表明,鉴定出的化合物在与硬化蛋白loop2区域氨基酸的相互作用方面存在差异。6种化合物与Ile95相互作用,2种化合物与Asn93相互作用,Asn93是loop2区域中已知参与硬化蛋白抑制作用的一种氨基酸,这表明鉴定出的化合物具有结合并中和硬化蛋白功能的潜力。此外,与所有9种鉴定出的化合物相比,化合物43920281显示出低毒性风险和类药物特征。总之,计算机模拟分析鉴定出一种新型化合物43920281,作为一种有效的抗硬化蛋白治疗药物,用于骨质疏松症治疗的药物开发。

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