Iterative Landmark-Based Umbrella Sampling (ILBUS) Protocol for Sampling of Conformational Space of Biomolecules
Jiří Vymětal1, Jiří Vondrášek1
1Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences, Flemingovo náměstí 542/2, 160 00 Praha 6, Czech Republic.
Journal of Chemical Information and Modeling
|September 19, 2022
Summary
This study introduces a novel Iterative Landmark-Based Umbrella Sampling (ILBUS) method to improve biomolecular simulations by efficiently resampling conformational space. This approach enhances sampling efficiency for molecular dynamics, overcoming limitations of computational resources.
Area of Science:
- Computational Chemistry
- Biophysics
- Molecular Modeling
Background:
- Molecular dynamics simulations often face insufficient sampling due to computational constraints.
- This limitation hinders the accurate determination of equilibrium distributions for biomolecular properties.
Purpose of the Study:
- To develop an efficient protocol for resampling biomolecular conformational space.
- To improve the accuracy of equilibrium property estimation in molecular simulations.
Main Methods:
- Introduced the Iterative Landmark-Based Umbrella Sampling (ILBUS) protocol for efficient trajectory resampling.
- Utilized off-equilibrium trajectories for initial conformational space mapping.
- Employed the multistate Bennett acceptance ratio (MBAR) method for reconstructing equilibrium properties.
- ILBUS is geometry-based, requiring only reference conformations (landmarks), and includes iterative force constant optimization.
Main Results:
- Demonstrated the feasibility and performance of the ILBUS protocol.
- Successfully applied the method to study the conformational landscapes of alanine dipeptide, met-enkephalin, and adenylate kinase.
- Showcased efficient use of simulated data via MBAR, even with suboptimal force constants.
Conclusions:
- The ILBUS protocol offers a geometry-based, efficient solution for enhancing sampling in biomolecular simulations.
- This method overcomes limitations of computational resources and improves the accuracy of equilibrium property calculations.
- ILBUS provides a robust and adaptable tool for exploring complex molecular conformational spaces.
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