期刊
FRONTIERS IN MOLECULAR BIOSCIENCES
卷 6, 期 -, 页码 -出版社
FRONTIERS MEDIA SA
DOI: 10.3389/fmolb.2019.00112
关键词
peptide-protein binding; peptide docking; PeptiDock; gaussian accelerated molecular dynamics (GaMD); peptide flexibility
资金
- National Institutes of Health [R01GM132572]
- National Science Foundation [AF 1816314, DBI 1759277, ACI-1548562, TG-MCB180049]
- Binational Science Foundation Grant [2015207]
- American Heart Association [17SDG33370094]
- College of Liberal Arts and Sciences at the University of Kansas (KU)
- National Energy Research Scientific Computing Center (NERSC) [M2874, DE-AC02-05CH11231]
Peptides mediate up to 40% of known protein-protein interactions in higher eukaryotes and play a key role in cellular signaling, protein trafficking, immunology, and oncology. However, it is challenging to predict peptide-protein binding with conventional computational modeling approaches, due to slow dynamics and high peptide flexibility. Here, we present a prototype of the approach which combines global peptide docking using ClusPro PeptiDock and all-atom enhanced simulations using Gaussian accelerated molecular dynamics (GaMD). For three distinct model peptides, the lowest backbone root-mean-square deviations (RMSDs) of their bound conformations relative to X-ray structures obtained from PeptiDock were 3.3-4.8 angstrom, being medium quality predictions according to the Critical Assessment of PRediction of Interactions (CAPRI) criteria. GaMD simulations refined the peptide-protein complex structures with significantly reduced peptide backbone RMSDs of 0.6-2.7 angstrom, yielding two high quality (sub-angstrom) and one medium quality models. Furthermore, the GaMD simulations identified important low-energy conformational states and revealed the mechanism of peptide binding to the target proteins. Therefore, PeptiDock+GaMD is a promising approach for exploring peptide-protein interactions.
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