RiD-kit: software package designed to do enhanced sampling using reinforced dynamics

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. The difficulty of selecting a few important collective variables hinders the methods to be applied to large systems easily. Here we present RiD-kit, which can utilize a large number of collective variables for enhanced 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 various kinds of platforms including the high-performance computing platform, cloud server and local machines.

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Publication Details

Journal
BMC Methods
Published
2025-06-24
DOI
https://doi.org/10.1186/s44330-025-00032-9
Citations
1
Primary Topic
Protein Structure and Dynamics
Type
article
Field-Weighted Citation Impact
0.81
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article

RiD-kit: software package designed to do enhanced sampling using reinforced dynamics

Dongdong Wang, Linfeng Zhang, Jiahao Fan, Yanze Wang
1 citations
BMC Methods
Protein Structure and Dynamics
0.81
article

RiD-kit: software package designed to do enhanced sampling using reinforced dynamics

Dongdong Wang, Linfeng Zhang, Jiahao Fan, Yanze Wang
article en
1 citations

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. The difficulty of selecting a few important collective variables hinders the methods to be applied to large systems easily. Here we present RiD-kit, which can utilize a large number of collective variables for enhanced 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 various kinds of platforms including the high-performance computing platform, cloud server and local machines.

BMC MethodsVol. 2(1)
IIT@MIT (US), Institute of Theoretical Physics (CN)
Sustainable cities and communities
Openalex Percentile: Top 27%
Protein Structure and Dynamics
0.81
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