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

被引:11
作者
Parate, Shraddha [1 ]
Rampogu, Shailima [2 ]
Lee, Gihwan [1 ]
Hong, Jong Chan [1 ]
Lee, Keun Woo [2 ]
机构
[1] Gyeongsang Natl Univ GNU, Plant Mol Biol & Biotechnol Res Ctr PMBBRC, Res Inst Nat Sci RINS, Div Life Sci,Div Appl Life Sci BK21 Plus, Jinju, South Korea
[2] Gyeongsang Natl Univ GNU, Plant Mol Biol & Biotechnol Res Ctr PMBBRC, Dept Bio & Med Big Data, Div Life Sci,Res Inst Nat Sci RINS,BK21 4 Program, Jinju, South Korea
基金
新加坡国家研究基金会;
关键词
RKIP; C-Raf; protein-protein docking; HADDOCK; ZDOCK; molecular dynamics simulation; MM; PBSA; binding sites prediction; RKIP BINDING; MAPK PATHWAY; WEB SERVER; IN-SILICO; PREDICTION; HADDOCK; CANCER; POCKET; LIGAND; REGION;
D O I
10.3389/fmolb.2021.655035
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页数:15
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共 80 条
  • [1] Gromacs: High performance molecular simulations through multi-level parallelism from laptops to supercomputers
    Abraham, Mark James
    Murtola, Teemu
    Schulz, Roland
    Páll, Szilárd
    Smith, Jeremy C.
    Hess, Berk
    Lindah, Erik
    [J]. SoftwareX, 2015, 1-2 : 19 - 25
  • [2] RKIP: Much more than Raf Kinase inhibitory protein
    Al-Mulla, Fahd
    Bitar, Milad S.
    Taqi, Zainab
    Yeung, Kam C.
    [J]. JOURNAL OF CELLULAR PHYSIOLOGY, 2013, 228 (08) : 1688 - 1702
  • [3] Beshir Anwar B, 2011, For Immunopathol Dis Therap, V2, P47
  • [4] Comparing experimental and computational alanine scanning techniques for probing a prototypical protein-protein interaction
    Bradshaw, Richard T.
    Patel, Bhavesh H.
    Tate, Edward W.
    Leatherbarrow, Robin J.
    Gould, Ian R.
    [J]. PROTEIN ENGINEERING DESIGN & SELECTION, 2011, 24 (1-2) : 197 - 207
  • [5] Assessing the performance of the MM/PBSA and MM/GBSA methods. 6. Capability to predict protein-protein binding free energies and re-rank binding poses generated by protein-protein docking
    Chen, Fu
    Liu, Hui
    Sun, Huiyong
    Pan, Peichen
    Li, Youyong
    Li, Dan
    Hou, Tingjun
    [J]. PHYSICAL CHEMISTRY CHEMICAL PHYSICS, 2016, 18 (32) : 22129 - 22139
  • [6] Docking unbound proteins using shape complementarity, desolvation, and electrostatics
    Chen, R
    Weng, ZP
    [J]. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, 2002, 47 (03) : 281 - 294
  • [7] PARTICLE MESH EWALD - AN N.LOG(N) METHOD FOR EWALD SUMS IN LARGE SYSTEMS
    DARDEN, T
    YORK, D
    PEDERSEN, L
    [J]. JOURNAL OF CHEMICAL PHYSICS, 1993, 98 (12) : 10089 - 10092
  • [8] The HADDOCK web server for data-driven biomolecular docking
    De Vries, Sjoerd J.
    van Dijk, Marc
    Bonvin, Alexandre M. J. J.
    [J]. NATURE PROTOCOLS, 2010, 5 (05) : 883 - 897
  • [9] HADDOCK: A protein-protein docking approach based on biochemical or biophysical information
    Dominguez, C
    Boelens, R
    Bonvin, AMJJ
    [J]. JOURNAL OF THE AMERICAN CHEMICAL SOCIETY, 2003, 125 (07) : 1731 - 1737
  • [10] Molecular Simulation of Oncostatin M and Receptor (OSM-OSMR) Interaction as a Potential Therapeutic Target for Inflammatory Bowel Disease
    Du, Qingqing
    Qian, Yan
    Xue, Weiwei
    [J]. FRONTIERS IN MOLECULAR BIOSCIENCES, 2020, 7