Improved Modeling of Peptide-Protein Binding Through Global Docking and Accelerated Molecular Dynamics Simulations

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 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 were 3.3-4.8 Å, being medium quality predictions according to the Critical Assessment of PRediction of Interactions (CAPRI) criteria. simulations refined the peptide-protein complex structures with significantly reduced peptide backbone RMSDs of 0.6-2.7 Å, yielding two high quality (sub-angstrom) and one medium quality models. Furthermore, the simulations identified important low-energy conformational states and revealed the mechanism of peptide binding to the target proteins. Therefore, + is a promising approach for exploring peptide-protein interactions.