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鉴定异速诺宁和念珠菌素为Rho相关蛋白激酶1(ROCK1)抑制剂:虚拟筛选与分子动力学模拟相结合的方法

Identifying Isoononin and Candidissiol as Rho-associated protein kinase 1 (ROCK1) inhibitors: a combined virtual screening and MD simulation approach.

作者信息

Alotaibi Bader Saud, Joshi Jatin, Hasan Mohammad Raghibul, Khan Mohd Shahnawaz, Alharethi Salem Hussain, Mohammad Taj, Alhumaydhi Fahad A, Elasbali Abdelbaset Mohamed, Hassan Md Imtaiyaz

机构信息

Department of Medical Laboratory Science, College of Applied Medical Sciences, Shaqra University, Riyadh, Saudi Arabia.

Department of Computer Science, Jamia Millia Islamia, New Delhi, India.

出版信息

J Biomol Struct Dyn. 2023 Aug-Sep;41(14):6749-6758. doi: 10.1080/07391102.2022.2111362. Epub 2022 Aug 13.

Abstract

Rho-associated protein kinase 1 (ROCK1) is a member of the AGC family which plays crucial roles in inflammatory diseases and cancer progression. Elevated expression of ROCK1 has been reported in multiple cancer types, and thus it has emerged as a potential drug target for cancer therapeutics. In this study, we performed a structure-based virtual screening of the natural compounds taken from the IMPPAT database to find some potential molecules as inhibitors of ROCK1. For the first step, we selected the compounds based on the Lipinski rule of five, and then we filtered them based on their ADMET properties and PAINS value. After this, other parameters like binding affinities, docking score, biological properties and selectivity were calculated to find appropriate hits against ROCK1. Finally, we identified two natural compounds, Isoononin and Candidissiol, with appreciable binding affinity and selectivity towards ROCK1. Furthermore, all-atom molecular dynamics simulations were carried out on ROCK1 with the elucidated compounds, which suggested stability throughout the simulated trajectories of 100 ns. Taken together, Isoononin and Candidissiol could be considered as potential inhibitors of ROCK1 for developing anticancer therapeutics.Communicated by Ramaswamy H. Sarma.

摘要

Rho相关蛋白激酶1(ROCK1)是AGC家族的成员,在炎症性疾病和癌症进展中起关键作用。已有报道称ROCK1在多种癌症类型中表达升高,因此它已成为癌症治疗的潜在药物靶点。在本研究中,我们对取自IMPPAT数据库的天然化合物进行了基于结构的虚拟筛选,以寻找一些作为ROCK1抑制剂的潜在分子。第一步,我们根据Lipinski五规则选择化合物,然后根据它们的ADMET性质和PAINS值进行筛选。在此之后,计算其他参数,如结合亲和力、对接分数、生物学性质和选择性,以找到针对ROCK1的合适命中物。最后,我们鉴定出两种天然化合物,异松脂素和念珠菌素,它们对ROCK1具有可观的结合亲和力和选择性。此外,对含有已阐明化合物的ROCK1进行了全原子分子动力学模拟,结果表明在100纳秒的模拟轨迹中整个结构具有稳定性。综上所述,异松脂素和念珠菌素可被视为开发抗癌疗法的ROCK1潜在抑制剂。由拉马斯瓦米·H·萨尔马传达。

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