Skip to main navigation Skip to search Skip to main content

Accelerating the Ensemble Convergence of RNA Hairpin Simulations with a Replica Exchange Structure Reservoir

  • Stony Brook University

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

RNA is a key participant in many biological processes, but studies of RNA using computer simulations lag behind those of proteins, largely due to less-developed force fields and the slow dynamics of RNA. Generating converged RNA ensembles for force field development and other studies remains a challenge. In this study, we explore the ability of replica exchange molecular dynamics to obtain well-converged conformational ensembles for two RNA hairpin systems in an implicit solvent. Even for these small model systems, standard REMD remains computationally costly, but coupling to a pre-generated structure library using the reservoir REMD approach provides a dramatic acceleration of ensemble convergence for both model systems. Such precise ensembles could facilitate RNA force field development and validation and applications of simulation to more complex RNA systems. The advantages and remaining challenges of applying R-REMD to RNA are investigated in detail.

Original languageEnglish
Pages (from-to)3930-3947
Number of pages18
JournalJournal of Chemical Theory and Computation
Volume18
Issue number6
DOIs
StatePublished - Jun 14 2022

Fingerprint

Dive into the research topics of 'Accelerating the Ensemble Convergence of RNA Hairpin Simulations with a Replica Exchange Structure Reservoir'. Together they form a unique fingerprint.

Cite this