共 50 条
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