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

IF 2.7 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY Journal of Biomolecular Structure & Dynamics Pub Date : 2024-11-01 Epub Date: 2023-08-30 DOI:10.1080/07391102.2023.2252080
Kailasam N Vennila, Kuppanagounder P Elango
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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.

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根据蛋白质与蛋白质之间的对接相互作用,通过内嵌分子建模确定 PDK-1 靶向药物。
PDK1 是一个极具吸引力的癌症靶点,它能使其他 23 个激酶顺流而下,促进细胞生长、存活和新陈代谢。一般来说,使用药理的药物设计策略要么是基于单一蛋白质结构,要么是基于配体的组合。除了这些方法外,本研究还提出了另一种新方法,即利用最先进的计算工具(如 Schrodinger Suite)进行蛋白质-蛋白质对接,从而根据蛋白质的相互作用伙伴生成药效团。通过对接 PDK1 的十个相互作用伙伴,获得了基于结构的药效特征,并与含有蛋白质-蛋白质相互作用化合物集合、高级、蛋白质模拟和异构化合物的 Enamine 库进行了筛选。针对 PDK1 的 PIF 口袋进行的高通量虚拟筛选产生了一种吲哚支架。分子元动力学模拟、自由能表面分析和 MM-GBSA 计算进一步证实了这一点。因此,PPI 相互作用蛋白产生的药性可以促进类似治疗靶点基于结构的药物发现的虚拟筛选。
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来源期刊
Journal of Biomolecular Structure & Dynamics
Journal of Biomolecular Structure & Dynamics 生物-生化与分子生物学
CiteScore
8.90
自引率
9.10%
发文量
597
审稿时长
2 months
期刊介绍: The Journal of Biomolecular Structure and Dynamics welcomes manuscripts on biological structure, dynamics, interactions and expression. The Journal is one of the leading publications in high end computational science, atomic structural biology, bioinformatics, virtual drug design, genomics and biological networks.
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