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通过分子对接和分子动力学模拟探索Raf激酶抑制蛋白与C-Raf N端的结合相互作用

Exploring the Binding Interaction of Raf Kinase Inhibitory Protein With the N-Terminal of C-Raf Through Molecular Docking and Molecular Dynamics Simulation.

作者信息

Parate Shraddha, Rampogu Shailima, Lee Gihwan, Hong Jong Chan, Lee Keun Woo

机构信息

Division of Life Sciences, Division of Applied Life Science (BK21 Plus), Plant Molecular Biology and Biotechnology Research Center (PMBBRC), Research Institute of Natural Science (RINS), Gyeongsang National University (GNU), Jinju, Korea.

Division of Life Sciences, Plant Molecular Biology and Biotechnology Research Center (PMBBRC), Department of Bio and Medical Big Data (BK21 Four Program), Research Institute of Natural Science (RINS), Gyeongsang National University (GNU), Jinju, Korea.

出版信息

Front Mol Biosci. 2021 May 28;8:655035. doi: 10.3389/fmolb.2021.655035. eCollection 2021.

Abstract

Protein-protein interactions are indispensable physiological processes regulating several biological functions. Despite the availability of structural information on protein-protein complexes, deciphering their complex topology remains an outstanding challenge. Raf kinase inhibitory protein (RKIP) has gained substantial attention as a favorable molecular target for numerous pathologies including cancer and Alzheimer's disease. RKIP interferes with the RAF/MEK/ERK signaling cascade by endogenously binding with C-Raf (Raf-1 kinase) and preventing its activation. In the current investigation, the binding of RKIP with C-Raf was explored by knowledge-based protein-protein docking web-servers including HADDOCK and ZDOCK and a consensus binding mode of C-Raf/RKIP structural complex was obtained. Molecular dynamics (MD) simulations were further performed in an explicit solvent to sample the conformations for when RKIP binds to C-Raf. Some of the conserved interface residues were mutated to alanine, phenylalanine and leucine and the impact of mutations was estimated by additional MD simulations and MM/PBSA analysis for the wild-type (WT) and constructed mutant complexes. Substantial decrease in binding free energy was observed for the mutant complexes as compared to the binding free energy of WT C-Raf/RKIP structural complex. Furthermore, a considerable increase in average backbone root mean square deviation and fluctuation was perceived for the mutant complexes. Moreover, per-residue energy contribution analysis of the equilibrated simulation trajectory by HawkDock and ANCHOR web-servers was conducted to characterize the key residues for the complex formation. One residue each from C-Raf (Arg398) and RKIP (Lys80) were identified as the druggable "hot spots" constituting the core of the binding interface and corroborated by additional long-time scale (300 ns) MD simulation of Arg398Ala mutant complex. A notable conformational change in Arg398Ala mutant occurred near the mutation site as compared to the equilibrated C-Raf/RKIP native state conformation and an essential hydrogen bonding interaction was lost. The thirteen binding sites assimilated from the overall analysis were mapped onto the complex as surface and divided into active and allosteric binding sites, depending on their location at the interface. The acquired information on the predicted 3D structural complex and the detected sites aid as promising targets in designing novel inhibitors to block the C-Raf/RKIP interaction.

摘要

蛋白质-蛋白质相互作用是调节多种生物学功能的不可或缺的生理过程。尽管已有蛋白质-蛋白质复合物的结构信息,但解析其复杂的拓扑结构仍然是一项重大挑战。raf激酶抑制蛋白(RKIP)作为包括癌症和阿尔茨海默病在内的多种疾病的理想分子靶点,已受到广泛关注。RKIP通过与C-Raf(Raf-1激酶)内源性结合并阻止其激活,干扰RAF/MEK/ERK信号级联反应。在本研究中,通过基于知识的蛋白质-蛋白质对接网络服务器(包括HADDOCK和ZDOCK)探索了RKIP与C-Raf的结合,并获得了C-Raf/RKIP结构复合物的共识结合模式。进一步在显式溶剂中进行分子动力学(MD)模拟,以采样RKIP与C-Raf结合时的构象。将一些保守的界面残基突变为丙氨酸、苯丙氨酸和亮氨酸,并通过额外的MD模拟和MM/PBSA分析评估野生型(WT)和构建的突变体复合物的突变影响。与WT C-Raf/RKIP结构复合物的结合自由能相比,突变体复合物的结合自由能显著降低。此外,突变体复合物的平均主链均方根偏差和波动显著增加。此外,通过HawkDock和ANCHOR网络服务器对平衡模拟轨迹进行每残基能量贡献分析,以表征复合物形成的关键残基。从C-Raf(Arg398)和RKIP(Lys80)中各鉴定出一个残基作为构成结合界面核心的可成药“热点”,并通过Arg398Ala突变体复合物的额外长时间尺度(300 ns)MD模拟得到证实。与平衡的C-Raf/RKIP天然状态构象相比,Arg398Ala突变体在突变位点附近发生了显著的构象变化,并且失去了重要的氢键相互作用。根据在界面上的位置,将通过整体分析得到的13个结合位点映射到复合物表面,并分为活性结合位点和变构结合位点。所获得的关于预测的三维结构复合物和检测到的位点的信息有助于设计新型抑制剂来阻断C-Raf/RKIP相互作用,成为有前景的靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2027/8194344/b5186ae1e43b/fmolb-08-655035-g001.jpg

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