bioRxivBiophysics
The RED scheme: Rate-constant estimation from pre-steady state weighted ensemble simulations
Abstract
We present the Rate from Event Durations (RED) scheme, a new scheme that more efficiently calculates rate constants using the weighted ensemble path sampling strategy. This scheme enables rate-constant estimation from shorter trajectories by incorporating the probability distribution of event durations, or barrier crossing times, from a simulation. We have applied the RED scheme to weighted ensemble simulations of a variety of rare-event processes that range in complexity: residue-level simulations of protein conformational switching, atomistic simulations of Na+/Cl- association in explicit solvent, and atomistic simulations of protein-protein association in explicit solvent. Rate constants were estimated with up to 50% greater efficiency than the original weighted ensemble scheme. Importantly, our method accounts for systematic error when using data from the entire simulation. The RED scheme is relevant to any simulation strategy that involves unbiased trajectories of similar length to the most probable event duration, including weighted ensemble, milestoning, and standard simulations as well as the construction of Markov state models.
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Extensive Evaluation of Weighted Ensemble Strategies for Calculating Rate Constants and Binding Affinities of Molecular Association/Dissociation Processes
- A Minimal, Adaptive Binning Scheme for Weighted Ensemble Simulations
P. A. Torrillo, A. T. Bogetti, L. Chong·bioRxiv·Nov 5, 2020
- Markovian Weighted Ensemble Milestoning (M-WEM): Long-time Kinetics from Short Trajectories
D. Ray, S. E. Stone, I. Andricioaei·bioRxiv·Jun 26, 2021
- Rare-Event Sampling using a Reinforcement Learning-Based Weighted Ensemble Method
Darian T. Yang, Alex M. Goldberg, Lillian T. Chong·bioRxiv·Oct 9, 2024
- WESTPA 2.0: High-performance upgrades for weighted ensemble simulations and analysis of longer-timescale applications
- A Suite of Advanced Tutorials for the WESTPA 2.0 Rare-Events Sampling Software
A. Bogetti, J. Leung, … L. Chong·bioRxiv·Oct 4, 2022