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探索新型N-肉豆蔻酰转移酶抑制剂:一种分子动力学模拟方法。

Exploring Novel -Myristoyltransferase Inhibitors: A Molecular Dynamics Simulation Approach.

作者信息

Khalil Ruqaiya, Ashraf Sajda, Khalid Asaad, Ul-Haq Zaheer

机构信息

Dr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological Sciences, and HEJ Research Institute of Chemistry, International Center for Chemical and Biological Sciences, University of Karachi, Karachi 75270, Pakistan.

Substance Abuse and Toxicology Research Centre, Jazan University, P.O. Box 114, Jazan 45142, Saudi Arabia.

出版信息

ACS Omega. 2019 Aug 15;4(9):13658-13670. doi: 10.1021/acsomega.9b00843. eCollection 2019 Aug 27.

Abstract

-Myristoyltransferase (NMT) is a cytosolic monomeric enzyme involved in the allocation of the myristoyl group to the aminoterminal of glycine in several viral and eukaryotic cellular proteins. NMT has been validated as a potential drug target against kinetoplastid for parasitic protozoa. A multistep virtual screening protocol based on the pharmacophore modeling, molecular docking, and molecular dynamics simulation was carried out. Initially, Maybridge database was virtually screened via a validated pharmacophore model. The effective pharmacophore models were accompanied with exclusion volumes to improve their receiver operating characteristic curve to identify potential NMT inhibitors. The hits identified as actives based on the 3D-pharmacophore model were evaluated by molecular docking studies. In stepwise screening, six compounds were shortlisted for the dynamic simulation to get insights into their binding mode. In conclusion, this study provides fundamental information about the architecture of the binding site and some crucial residues that may provide insights into the development of new antiparasitic agents.

摘要

肉豆蔻酰转移酶(NMT)是一种胞质单体酶,参与将肉豆蔻酰基团分配到几种病毒和真核细胞蛋白质中甘氨酸的氨基末端。NMT已被确认为针对寄生原生动物动基体的潜在药物靶点。开展了基于药效团建模、分子对接和分子动力学模拟的多步虚拟筛选方案。最初,通过经过验证的药效团模型对Maybridge数据库进行虚拟筛选。有效的药效团模型伴有排除体积,以改善其受体操作特征曲线,从而识别潜在的NMT抑制剂。基于三维药效团模型鉴定为活性物质的命中物通过分子对接研究进行评估。在逐步筛选中,六种化合物被列入动态模拟的候选名单,以深入了解它们的结合模式。总之,本研究提供了有关结合位点结构和一些关键残基的基础信息,这些信息可能为新型抗寄生虫药物的开发提供思路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8eaa/6714517/356e7538b8f0/ao9b00843_0001.jpg

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