Solvent Sites Improve Docking Performance of Protein-Protein Complexes and Protein-Protein Interface-Targeted Drugs

被引:6
|
作者
Mayol, Gonzalo F. [1 ,2 ]
Defelipe, Lucas A. [1 ,2 ,4 ]
Arcon, Juan Pablo [1 ,2 ,3 ]
Turjanski, Adrian G. [1 ,2 ]
Marti, Marcelo A. [1 ,2 ]
机构
[1] Univ Buenos Aires FCEyN UBA, Dept Quim Biol, Fac Ciencias Exactas & Nat, C1428EHA, Buenos Aires, Argentina
[2] Fac Ciencias Exactas & Nat IQUIBICEN CONICET, Inst Quim Biol, C1428EHA, Buenos Aires, Argentina
[3] Inst Res Biomed IRB, Barcelona 08028, Spain
[4] European Mol Biol Lab Hamburg Unit, D-22607 Hamburg, Germany
关键词
MOLECULAR-DYNAMICS SIMULATIONS; WEB SERVER; AMBER; THERMODYNAMICS; IDENTIFICATION; PREDICTION; INHIBITORS;
D O I
10.1021/acs.jcim.2c00264
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
Protein-protein interactions (PPIs) are essential, and modulating their function through PPI-targeted drugs is an important research field. PPI sites are shallow protein surfaces readily accessible to the solvent, thus lacking a proper pocket to fit a drug, while their lack of endogenous ligands prevents drug design by chemical similarity. The development of PPI-blocking compounds is, therefore, a tough challenge. Mixed solvent molecular dynamics has been shown to reveal protein-ligand interaction hot spots in protein active sites by identifying solvent sites (SSs). Furthermore, our group has shown that SSs significantly improve protein-ligand docking. In the present work, we extend our analysis to PPI sites. In particular, we analyzed water, ethanol, and phenol-derived sites in terms of their capacity to predict protein-drug and protein-protein interactions. Subsequently, we show how this information can be incorporated to improve both protein-ligand and protein-protein docking. Finally, we highlight the presence of aromatic clusters as key elements of the corresponding interactions.
引用
收藏
页码:3577 / 3588
页数:12
相关论文
共 50 条
  • [1] Predicting druggable binding sites at the protein-protein interface
    Fuller, Jonathan C.
    Burgoyne, Nicholas J.
    Jackson, Richard M.
    DRUG DISCOVERY TODAY, 2009, 14 (3-4) : 155 - 161
  • [2] Interolog interfaces in protein-protein docking
    Alsop, James D.
    Mitchell, Julie C.
    PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, 2015, 83 (11) : 1940 - 1946
  • [3] Performance and Its Limits in Rigid Body Protein-Protein Docking
    Desta, Israel T.
    Porter, Kathryn A.
    Xia, Bing
    Kozakov, Dima
    Vajda, Sandor
    STRUCTURE, 2020, 28 (09) : 1071 - +
  • [4] What method to use for protein-protein docking?
    Porter, Kathryn A.
    Desta, Israel
    Kozakov, Dima
    Vajda, Sandor
    CURRENT OPINION IN STRUCTURAL BIOLOGY, 2019, 55 : 1 - 7
  • [5] A Web Interface for Easy Flexible Protein-Protein Docking with ATTRACT
    de Vries, Sjoerd J.
    Schindler, Christina E. M.
    de Beauchene, Isaure Chauvot
    Zacharias, Martin
    BIOPHYSICAL JOURNAL, 2015, 108 (03) : 462 - 465
  • [6] Binding interface prediction by combining protein-protein docking results
    Hwang, Howook
    Vreven, Thom
    Weng, Zhiping
    PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, 2014, 82 (01) : 57 - 66
  • [7] Binding-sites Prediction Assisting Protein-protein Docking
    Konc, Janez
    Trykowska Konc, Joanna
    Penca, Matej
    Janezic, Dusanka
    ACTA CHIMICA SLOVENICA, 2011, 58 (03) : 396 - 401
  • [8] Recent Advances in Protein-Protein Docking
    Zhang, Qian
    Feng, Ting
    Xu, Lei
    Sun, Huiyong
    Pan, Peichen
    Li, Youyong
    Li, Dan
    Hou, Tingjun
    CURRENT DRUG TARGETS, 2016, 17 (14) : 1586 - 1594
  • [9] Pushing the Backbone in Protein-Protein Docking
    Kuroda, Daisuke
    Gray, Jeffrey J.
    STRUCTURE, 2016, 24 (10) : 1821 - 1829
  • [10] Protein-protein interactions: mechanisms and modification by drugs
    Veselovsky, AV
    Ivanov, YD
    Ivanov, AS
    Archakov, AI
    Lewi, P
    Janssen, P
    JOURNAL OF MOLECULAR RECOGNITION, 2002, 15 (06) : 405 - 422