Peptide Gaussian accelerated molecular dynamics (Pep-GaMD): Enhanced sampling and free energy and kinetics calculations of peptide binding
- PMID: 33092378
- PMCID: PMC7575327
- DOI: 10.1063/5.0021399
Peptide Gaussian accelerated molecular dynamics (Pep-GaMD): Enhanced sampling and free energy and kinetics calculations of peptide binding
Abstract
Peptides mediate up to 40% of known protein-protein interactions in higher eukaryotes and play an important role in cellular signaling. However, it is challenging to simulate both binding and unbinding of peptides and calculate peptide binding free energies through conventional molecular dynamics, due to long biological timescales and extremely high flexibility of the peptides. Based on the Gaussian accelerated molecular dynamics (GaMD) enhanced sampling technique, we have developed a new computational method "Pep-GaMD," which selectively boosts essential potential energy of the peptide in order to effectively model its high flexibility. In addition, another boost potential is applied to the remaining potential energy of the entire system in a dual-boost algorithm. Pep-GaMD has been demonstrated on binding of three model peptides to the SH3 domains. Independent 1 µs dual-boost Pep-GaMD simulations have captured repetitive peptide dissociation and binding events, which enable us to calculate peptide binding thermodynamics and kinetics. The calculated binding free energies and kinetic rate constants agreed very well with available experimental data. Furthermore, the all-atom Pep-GaMD simulations have provided important insights into the mechanism of peptide binding to proteins that involves long-range electrostatic interactions and mainly conformational selection. In summary, Pep-GaMD provides a highly efficient, easy-to-use approach for unconstrained enhanced sampling and calculations of peptide binding free energies and kinetics.
Figures
Similar articles
-
Protein-Protein Interaction-Gaussian Accelerated Molecular Dynamics (PPI-GaMD): Characterization of Protein Binding Thermodynamics and Kinetics.J Chem Theory Comput. 2022 Mar 8;18(3):1275-1285. doi: 10.1021/acs.jctc.1c00974. Epub 2022 Jan 31. J Chem Theory Comput. 2022. PMID: 35099970 Free PMC article.
-
Gaussian accelerated molecular dynamics (GaMD): principles and applications.Wiley Interdiscip Rev Comput Mol Sci. 2021 Sep-Oct;11(5):e1521. doi: 10.1002/wcms.1521. Epub 2021 Mar 1. Wiley Interdiscip Rev Comput Mol Sci. 2021. PMID: 34899998 Free PMC article.
-
Ligand Gaussian Accelerated Molecular Dynamics (LiGaMD): Characterization of Ligand Binding Thermodynamics and Kinetics.J Chem Theory Comput. 2020 Sep 8;16(9):5526-5547. doi: 10.1021/acs.jctc.0c00395. Epub 2020 Aug 7. J Chem Theory Comput. 2020. PMID: 32692556 Free PMC article.
-
Binding Analysis Using Accelerated Molecular Dynamics Simulations and Future Perspectives.Adv Appl Bioinform Chem. 2022 Jan 6;15:1-19. doi: 10.2147/AABC.S247950. eCollection 2022. Adv Appl Bioinform Chem. 2022. PMID: 35023931 Free PMC article. Review.
-
Gaussian accelerated molecular dynamics for elucidation of drug pathways.Expert Opin Drug Discov. 2018 Nov;13(11):1055-1065. doi: 10.1080/17460441.2018.1538207. Epub 2018 Oct 29. Expert Opin Drug Discov. 2018. PMID: 30371112 Free PMC article. Review.
Cited by
-
GLOW: A Workflow Integrating Gaussian-Accelerated Molecular Dynamics and Deep Learning for Free Energy Profiling.J Chem Theory Comput. 2022 Mar 8;18(3):1423-1436. doi: 10.1021/acs.jctc.1c01055. Epub 2022 Feb 24. J Chem Theory Comput. 2022. PMID: 35200019 Free PMC article.
-
Molecular Dynamics Simulations in Protein-Protein Docking.Methods Mol Biol. 2024;2780:91-106. doi: 10.1007/978-1-0716-3985-6_6. Methods Mol Biol. 2024. PMID: 38987465
-
Deciphering Conformational Changes of the GDP-Bound NRAS Induced by Mutations G13D, Q61R, and C118S through Gaussian Accelerated Molecular Dynamic Simulations.Molecules. 2022 Aug 30;27(17):5596. doi: 10.3390/molecules27175596. Molecules. 2022. PMID: 36080363 Free PMC article.
-
Unveiling Allosteric Regulation and Binding Mechanism of BRD9 through Molecular Dynamics Simulations and Markov Modeling.Molecules. 2024 Jul 25;29(15):3496. doi: 10.3390/molecules29153496. Molecules. 2024. PMID: 39124901 Free PMC article.
-
Towards rational computational peptide design.Front Bioinform. 2022 Oct 21;2:1046493. doi: 10.3389/fbinf.2022.1046493. eCollection 2022. Front Bioinform. 2022. PMID: 36338806 Free PMC article.
References
MeSH terms
Substances
Grants and funding
LinkOut - more resources
Full Text Sources
Miscellaneous
