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基于蛋白-蛋白对接相互作用的 PDK-1 靶向剂的计算分子建模鉴定。

Insilico molecular modelling to identify PDK-1 targeting agents based on its protein-protein docking interaction.

机构信息

The Gandhigram Rural Institute-Deemed to be University, Gandhigram, Tamil Nadu, India.

出版信息

J Biomol Struct Dyn. 2024 Nov;42(18):9361-9372. doi: 10.1080/07391102.2023.2252080. Epub 2023 Aug 30.

DOI:10.1080/07391102.2023.2252080
PMID:37646644
Abstract

PDK1, an attractive cancer target that downstreams 23 other kinases towards cell growth, survival and metabolism has gaining attention due to allosteric effect of ligands bound to it. Generally, the drug design strategy using pharmacophores is either a single protein structure or ensemble or ligand-based. Apart from these methods, yet another new approach of protein-protein docking with state of art computational tool like Schrodinger Suite to generate pharmacophores based on the interacting partners of the protein is proposed in this work. The structure-based pharmacophoric features were picked up from docking the ten interacting partners of PDK1 and screened against the Enamine libraries containing protein-protein interacting compound collection, advanced, protein mimetic and allosteric compounds. High throughput virtual screening against the PIF pocket of PDK1 yields an indole scaffold. The identified indole derivative is proposed to be a strong activator that binds in the protein-protein interaction site of PDK1 which was further confirmed by molecular metadynamics simulations, free energy surface analysis and MM-GBSA calculations. Thus, the pharmacophores generated by the interacting proteins for PPI can facilitate the virtual screening in structure-based drug discovery of similar therapeutic targets.Communicated by Ramaswamy H. Sarma.

摘要

PDK1 是一个有吸引力的癌症靶点,它向下游调控 23 种其他激酶,促进细胞生长、存活和代谢,由于配体与它的变构效应而受到关注。通常,使用药效团的药物设计策略要么是单个蛋白质结构,要么是配体基。除了这些方法,这项工作还提出了另一种新的蛋白质-蛋白质对接方法,利用 Schrodinger Suite 等最先进的计算工具,根据蛋白质的相互作用伙伴生成基于药效团的对接。基于结构的药效团特征是从 PDK1 的十个相互作用伙伴对接中提取出来的,并针对包含蛋白质-蛋白质相互作用化合物集合、高级、蛋白质模拟和变构化合物的 Enamine 文库进行筛选。针对 PDK1 的 PIF 口袋进行高通量虚拟筛选,得到一个吲哚骨架。所鉴定的吲哚衍生物被提出是一种强激活剂,它结合在 PDK1 的蛋白质-蛋白质相互作用位点,这进一步通过分子元动力学模拟、自由能表面分析和 MM-GBSA 计算得到证实。因此,由相互作用蛋白生成的 PPI 药效团可以促进类似治疗靶点的基于结构的药物发现中的虚拟筛选。由 Ramaswamy H. Sarma 传达。

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