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利用分子对接、分子动力学模拟结合自由能计算,靶向蛋白酪氨酸磷酸酶以揭示肺炎链球菌可能的抑制剂。

Targeting protein tyrosine phosphatase to unravel possible inhibitors for Streptococcus pneumoniae using molecular docking, molecular dynamics simulations coupled with free energy calculations.

机构信息

Department of Bioinformatics, Hazara University, Mansehra, Pakistan.

Department of Bioinformatics, Hazara University, Mansehra, Pakistan.

出版信息

Life Sci. 2021 Jan 1;264:118621. doi: 10.1016/j.lfs.2020.118621. Epub 2020 Oct 22.

Abstract

AIMS

Protein tyrosine phosphatase (PTP-CPS4B) is a signaling enzyme that is essential for a wide range of cellular processes, like metabolism, proliferation, survival and motility. Studies suggest that PTPs are vital for the production of Wzy-dependent capsule in bacteria, making it a valuable target for the discovery of pneumonia associated anti-virulence antibacterial agents. Present study aims at identifying the potential drug candidates to be exploited in inhibiting the growth of Streptococcus pneumonia targeting PTP-CPS4B.

MATERIALS AND METHODS

The present study exploits the molecular docking potential coupled with molecular dynamic simulation as well as free energy calculations to identify potential inhibitors of PTP-CPS4B. Libraries of known and unknown compounds were docked into the active site of PTP-CPS4B using MOE. The compounds with best binding affinity and orientation were subjected to MD simulations and free energy calculations.

FINDINGS

Top three compounds based on their binding energy and well composed interaction pattern obtained from molecular docking study were subjected to MD simulations and were compared to reported antibiotic drugs. MD Simulation studies have shown that the presence of an inhibitor inside the active site reduces protein flexibility as evident from RMSD, RMSF and Principal component analyses. MD simulations identified a transition from extended to bended motional shift in loop α6 of the PTP-CPS4B in ligand bound state. This flexibility was reported in the RMSF analysis and verified by the visual investigation of the loop α6 at different time intervals during the simulation. Free energy of binding affinity (computed using MMPBSA &MMGBSA approach) and the interaction patterns obtained from MD trajectory indicate that compound ZN1 (-31.50 Kcal/mol), ZN2 (-33.14 Kcal/mol) and ZN3 (-26.60 Kcal/mol) are potential drug candidates against PTP-CPS4B. Residue wise decomposition study helped in identifying the role of individual amino acid towards the overall inhibition behavior of the compounds. PCA analysis has led to the conclusion that the behavior of PTP-CPS4B inhibitors causes conformational dynamics that can be used to describe the protein inhibition mechanism.

SIGNIFICANCE

The outcome reveals that this study provide enough evidences for the consideration of ZN1, ZN2, ZN3 as potential PTP-CPS4B inhibitors and further in vitro and in vivo studies may prove their therapeutic potential.

摘要

目的

蛋白酪氨酸磷酸酶(PTP-CPS4B)是一种信号酶,对代谢、增殖、存活和运动等多种细胞过程至关重要。研究表明,PTP 对细菌中 Wzy 依赖性荚膜的产生至关重要,使其成为发现与肺炎相关的抗毒抗菌剂的有价值的靶标。本研究旨在确定针对 PTP-CPS4B 抑制肺炎链球菌生长的潜在药物候选物。

材料和方法

本研究利用分子对接潜力结合分子动力学模拟和自由能计算来识别 PTP-CPS4B 的潜在抑制剂。使用 MOE 将已知和未知化合物库对接入 PTP-CPS4B 的活性位点。具有最佳结合亲和力和取向的化合物进行 MD 模拟和自由能计算。

发现

根据分子对接研究中获得的结合能和良好的相互作用模式,对前三种化合物进行 MD 模拟,并与报道的抗生素药物进行比较。MD 模拟研究表明,抑制剂在活性部位的存在降低了蛋白质的灵活性,这从 RMSD、RMSF 和主成分分析中可以明显看出。MD 模拟确定了在配体结合状态下 PTP-CPS4B 中 loopα6 从伸展到弯曲的运动转变。在 RMSF 分析中报告了这种灵活性,并通过在模拟过程中不同时间间隔对 loopα6 的可视化检查进行了验证。通过 MMPBSA 和 MMGBSA 方法计算的结合亲和力自由能和从 MD 轨迹获得的相互作用模式表明,化合物 ZN1(-31.50 Kcal/mol)、ZN2(-33.14 Kcal/mol)和 ZN3(-26.60 Kcal/mol)是针对 PTP-CPS4B 的潜在药物候选物。残基分解研究有助于确定单个氨基酸对化合物整体抑制行为的作用。PCA 分析得出的结论是,PTP-CPS4B 抑制剂的行为导致构象动力学,可用于描述蛋白质抑制机制。

意义

研究结果表明,本研究为将 ZN1、ZN2、ZN3 视为潜在的 PTP-CPS4B 抑制剂提供了足够的证据,进一步的体外和体内研究可能证明它们的治疗潜力。

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