Literature DB >> 30134710

Acceleration of biomolecular kinetics in Gaussian accelerated molecular dynamics.

Yinglong Miao1.   

Abstract

Recent studies demonstrated that Gaussian accelerated molecular dynamics (GaMD) is a robust computational technique, which provides simultaneous unconstrained enhanced sampling and free energy calculations of biomolecules. However, the exact acceleration of biomolecular dynamics or speedup of kinetic rates in GaMD simulations and, more broadly, in enhanced sampling methods, remains a challenging task to be determined. Here, the GaMD acceleration is examined using alanine dipeptide in explicit solvent as a biomolecular model system. Relative to long conventional molecular dynamics simulation, GaMD simulations exhibited ∼36-67 times speedup for sampling of the backbone dihedral transitions. The acceleration depended on level of the GaMD boost potential. Furthermore, Kramers' rate theory was applied to estimate GaMD acceleration using simulation-derived diffusion coefficients, curvatures and barriers of free energy profiles. In most cases, the calculations also showed significant speedup of dihedral transitions in GaMD, although the GaMD acceleration factors tended to be underestimated by ∼3-96 fold. Because greater boost potential can be applied in GaMD simulations of systems with increased sizes, which potentially leads to higher acceleration, it is subject to future studies on accelerating the dynamics and recovering kinetic rates of larger biomolecules such as proteins and protein-protein/nucleic acid complexes.

Entities:  

Mesh:

Substances:

Year:  2018        PMID: 30134710      PMCID: PMC6901173          DOI: 10.1063/1.5024217

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  43 in total

1.  Extracting Realistic Kinetics of Rare Activated Processes from Accelerated Molecular Dynamics Using Kramers' Theory.

Authors:  Urmi Doshi; Donald Hamelberg
Journal:  J Chem Theory Comput       Date:  2011-01-27       Impact factor: 6.006

Review 2.  On searching in, sampling of, and dynamically moving through conformational space of biomolecular systems: A review.

Authors:  Markus Christen; Wilfred F van Gunsteren
Journal:  J Comput Chem       Date:  2008-01-30       Impact factor: 3.376

Review 3.  Dynamic personalities of proteins.

Authors:  Katherine Henzler-Wildman; Dorothee Kern
Journal:  Nature       Date:  2007-12-13       Impact factor: 49.962

4.  A statistical analysis of the precision of reweighting-based simulations.

Authors:  Tongye Shen; Donald Hamelberg
Journal:  J Chem Phys       Date:  2008-07-21       Impact factor: 3.488

Review 5.  Kinetics for Drug Discovery: an industry-driven effort to target drug residence time.

Authors:  Doris A Schuetz; Wilhelmus Egbertus Arnout de Witte; Yin Cheong Wong; Bernhard Knasmueller; Lars Richter; Daria B Kokh; S Kashif Sadiq; Reggie Bosma; Indira Nederpelt; Laura H Heitman; Elena Segala; Marta Amaral; Dong Guo; Dorothee Andres; Victoria Georgi; Leigh A Stoddart; Steve Hill; Robert M Cooke; Chris De Graaf; Rob Leurs; Matthias Frech; Rebecca C Wade; Elizabeth Cunera Maria de Lange; Adriaan P IJzerman; Anke Müller-Fahrnow; Gerhard F Ecker
Journal:  Drug Discov Today       Date:  2017-04-13       Impact factor: 7.851

6.  Graded activation and free energy landscapes of a muscarinic G-protein-coupled receptor.

Authors:  Yinglong Miao; J Andrew McCammon
Journal:  Proc Natl Acad Sci U S A       Date:  2016-10-10       Impact factor: 11.205

7.  Gaussian Accelerated Molecular Dynamics in NAMD.

Authors:  Yui Tik Pang; Yinglong Miao; Yi Wang; J Andrew McCammon
Journal:  J Chem Theory Comput       Date:  2016-12-30       Impact factor: 6.006

8.  Reaction Coordinate-Free Approach to Recovering Kinetics from Potential-Scaled Simulations: Application of Kramers' Rate Theory.

Authors:  Aaron T Frank; Ioan Andricioaei
Journal:  J Phys Chem B       Date:  2016-06-06       Impact factor: 2.991

9.  The adaptive biasing force method: everything you always wanted to know but were afraid to ask.

Authors:  Jeffrey Comer; James C Gumbart; Jérôme Hénin; Tony Lelièvre; Andrew Pohorille; Christophe Chipot
Journal:  J Phys Chem B       Date:  2014-10-07       Impact factor: 2.991

10.  Gaussian Accelerated Molecular Dynamics: Unconstrained Enhanced Sampling and Free Energy Calculation.

Authors:  Yinglong Miao; Victoria A Feher; J Andrew McCammon
Journal:  J Chem Theory Comput       Date:  2015-07-14       Impact factor: 6.006

View more
  13 in total

1.  Peptide Gaussian accelerated molecular dynamics (Pep-GaMD): Enhanced sampling and free energy and kinetics calculations of peptide binding.

Authors:  Jinan Wang; Yinglong Miao
Journal:  J Chem Phys       Date:  2020-10-21       Impact factor: 3.488

2.  Pathway and mechanism of drug binding to chemokine receptors revealed by accelerated molecular simulations.

Authors:  Shristi Pawnikar; Yinglong Miao
Journal:  Future Med Chem       Date:  2020-06-09       Impact factor: 3.808

3.  Most Probable Druggable Pockets in Mutant p53-Arg175His Clusters Extracted from Gaussian Accelerated Molecular Dynamics Simulations.

Authors:  Morad Mustafa; Mohammed Gharaibeh
Journal:  Protein J       Date:  2022-01-31       Impact factor: 2.371

4.  Gaussian-Accelerated Molecular Dynamics with the Weighted Ensemble Method: A Hybrid Method Improves Thermodynamic and Kinetic Sampling.

Authors:  Surl-Hee Ahn; Anupam A Ojha; Rommie E Amaro; J Andrew McCammon
Journal:  J Chem Theory Comput       Date:  2021-11-30       Impact factor: 6.006

Review 5.  Enhanced-Sampling Simulations for the Estimation of Ligand Binding Kinetics: Current Status and Perspective.

Authors:  Katya Ahmad; Andrea Rizzi; Riccardo Capelli; Davide Mandelli; Wenping Lyu; Paolo Carloni
Journal:  Front Mol Biosci       Date:  2022-06-08

6.  Gaussian accelerated molecular dynamics (GaMD): principles and applications.

Authors:  Jinan Wang; Pablo R Arantes; Apurba Bhattarai; Rohaine V Hsu; Shristi Pawnikar; Yu-Ming M Huang; Giulia Palermo; Yinglong Miao
Journal:  Wiley Interdiscip Rev Comput Mol Sci       Date:  2021-03-01

7.  G-Protein-Coupled Receptor-Membrane Interactions Depend on the Receptor Activation State.

Authors:  Apurba Bhattarai; Jinan Wang; Yinglong Miao
Journal:  J Comput Chem       Date:  2019-10-10       Impact factor: 3.672

Review 8.  Gaussian accelerated molecular dynamics for elucidation of drug pathways.

Authors:  Apurba Bhattarai; Yinglong Miao
Journal:  Expert Opin Drug Discov       Date:  2018-10-29       Impact factor: 6.098

9.  Ligand Gaussian Accelerated Molecular Dynamics (LiGaMD): Characterization of Ligand Binding Thermodynamics and Kinetics.

Authors:  Yinglong Miao; Apurba Bhattarai; Jinan Wang
Journal:  J Chem Theory Comput       Date:  2020-08-07       Impact factor: 6.006

10.  Retrospective ensemble docking of allosteric modulators in an adenosine G-protein-coupled receptor.

Authors:  Apurba Bhattarai; Jinan Wang; Yinglong Miao
Journal:  Biochim Biophys Acta Gen Subj       Date:  2020-04-13       Impact factor: 3.770

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.