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通过有监督的分子动力学模拟方法对达沙替尼的 c-Src 激酶解结合途径进行完整重建;评估方法的效率和可信度。

Complete reconstruction of dasatinib unbinding pathway from c-Src kinase by supervised molecular dynamics simulation method; assessing efficiency and trustworthiness of the method.

机构信息

Department of Biology, Faculty of Science, Golestan University, Gorgan, Iran.

出版信息

J Biomol Struct Dyn. 2022;40(23):12535-12545. doi: 10.1080/07391102.2021.1972839. Epub 2021 Sep 2.

Abstract

Over the past years, rational drug design has gained lots of attention since employing it gave the world targeted therapy and more effective treatment solutions. Structure-based drug design (SBDD) is an excellent tool in rational drug design that takes advantage of accurate methods such as unbiased molecular dynamics (UMD) simulation for designing and optimizing molecular entities by understanding the binding and unbinding pathways of the binders. Supervised molecular dynamics (SuMD) simulation is a branch of UMD in which long-duration simulations are turned into short simulations, called replica, and a specific parameter is monitored throughout the simulation. In this work, we utilized this strategy to reconstruct the unbinding pathway of the anticancer drug dasatinib from its target protein, the c-Src kinase. Several unbinding events with valuable details were achieved. Then, to assess the efficiency and trustworthiness of the SuMD method, the unbinding pathway was also reconstructed by conventional UMD simulation, which uncovered some of the limitations of this method, such as limited sampling of the active site and finding the metastable states in the unbinding pathway. Furthermore, in times like these, when the world is desperate to find treatments for the Covid-19 disease, we think these methods are of exceptional value.Communicated by Ramaswamy H. Sarma.

摘要

在过去的几年中,理性药物设计受到了广泛关注,因为它为世界带来了靶向治疗和更有效的治疗方案。基于结构的药物设计(SBDD)是理性药物设计的一种极好工具,它利用无偏分子动力学(UMD)模拟等精确方法,通过了解配体的结合和解离途径,来设计和优化分子实体。有监督的分子动力学(SuMD)模拟是 UMD 的一个分支,它将长时间的模拟转化为短模拟,称为副本,并在整个模拟过程中监控特定参数。在这项工作中,我们利用该策略从其靶蛋白 c-Src 激酶重建抗癌药物达沙替尼的解离途径。实现了几个具有重要细节的解离事件。然后,为了评估 SuMD 方法的效率和可信度,我们还通过传统的 UMD 模拟重建了解离途径,这揭示了该方法的一些局限性,例如活性位点的采样有限,以及在解离途径中找到亚稳态。此外,在当今世界迫切需要寻找治疗 COVID-19 疾病的方法的情况下,我们认为这些方法具有特殊价值。由 Ramaswamy H. Sarma 传达。

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