RiD-kit: Software package designed to do enhanced sampling using reinforced dynamics
Jiahao Fan, Yanze Wang, Dongdong Wang, Linfeng Zhang

TL;DR
RiD-kit is a software package that enhances molecular dynamics sampling by efficiently handling many collective variables, applicable to diverse systems like biomolecules, reactions, and materials, with user-friendly workflows and multi-platform support.
Contribution
This work introduces RiD-kit, a novel CV-based enhanced sampling method capable of managing numerous CVs and facilitating applications to large, complex systems.
Findings
Handles large number of CVs efficiently
Applicable to biomolecules, chemical reactions, and materials
Supports diverse computing platforms
Abstract
Developing an efficient method to accelerate the speed of molecular dynamics is a central theme in the field of molecular simulation. One category among the methods are collective-variable-based methods, which rely on predefined collective variables (CVs). The difficulty of selecting a few important CVs hinders the methods to be applied to large systems easily. Here we present a CV-based enhanced sampling method RiD-kit, which could handle a large number of CVs and perform efficient sampling. The method could be applied to various kinds of systems, including biomolecules, chemical reactions and materials. In this protocol, we guide the users through all phases of the RiD-kit workflow, from preparing the input files, setting the simulation parameters and analyzing the results. The RiD-kit workflow provides an efficient and user-friendly command line tool which could submit jobs to…
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Taxonomy
TopicsSimulation Techniques and Applications · Gaussian Processes and Bayesian Inference
