Repository logo
Log in(current)
Repository logoMIT Open ScholarshipDSpace@MIT
  1. Home
  2. MIT Open Access Articles
  3. MIT Open Access Articles
  4. RiD-kit: software package designed to do enhanced sampling using reinforced dynamics

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

Thumbnail Image
Download
Name

44330_2025_Article_32.pdf

Size

6.08 MB

Format

Adobe PDF

Checksum (MD5)

f748a55ae3bbbf6149541b6140b927c2

Download all files submitted through automated deposit
art_1038967149056877943.zip (5.55 MB)
Author(s)
Fan, Jiahao
•
Wang, Yanze
•
Wang, Dongdong
•
Zhang, Linfeng
Date Issued
June 24, 2025
Journal
BMC Methods
Publisher
BioMed Central
Citation
Fan, J., Wang, Y., Wang, D. et al. RiD-kit: software package designed to do enhanced sampling using reinforced dynamics. BMC Methods 2, 14 (2025).
Version
Final published version
Abstract
Background 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. Method 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. Discussion 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.
MIT Department
Massachusetts Institute of Technology. Department of Chemistry
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivatives
https://creativecommons.org/licenses/by-nc-nd/4.0/
Persistent DSpace Link
https://hdl.handle.net/1721.1/162673
DOI of Published Version
https://doi.org/10.1186/s44330-025-00032-9
Repository logo
PrivacyPermissionsAccessibilityContact us
Repository logo
Notify us about copyright concerns.