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CHARMM-GUI Enhanced Sampler for various collective variables and enhanced sampling methods

  • Donghyuk Suh
  • , Shasha Feng
  • , Hwayoung Lee
  • , Han Zhang
  • , Sang Jun Park
  • , Seonghan Kim
  • , Jumin Lee
  • , Sun Choi
  • , Wonpil Im

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

Enhanced sampling methodologies modifying underlying Hamiltonians can be used for the systems with a rugged potential energy surface that makes it hard to observe convergence using conventional unbiased molecular dynamics (MD) simulations. We present CHARMM-GUI Enhanced Sampler, a web-based tool to prepare various enhanced sampling simulations inputs with user-selected collective variables (CVs). Enhanced Sampler provides inputs for the following nine methods: accelerated MD, Gaussian accelerated MD, conformational flooding, metadynamics, adaptive biasing force, steered MD, temperature replica exchange MD, replica exchange solute tempering 2, and replica exchange umbrella sampling for the method-implemented MD packages including AMBER, CHARMM, GENESIS, GROMACS, NAMD, and OpenMM. Users only need to select a group of atoms via intuitive web-implementation in order to define commonly used nine CVs of interest: center of mass based distance, angle, dihedral, root-mean-square-distance, radius of gyration, distance projected on axis, two types of angles projected on axis, and coordination numbers. The enhanced sampling methods are tested with several biological systems to illustrate their efficiency over conventional MD. Enhanced Sampler with carefully optimized system-dependent parameters will help users to get meaningful results from their enhanced sampling simulations.

Original languageEnglish
Article numbere4446
JournalProtein Science
Volume31
Issue number11
DOIs
StatePublished - Nov 2022
Externally publishedYes

Funding

The authors thank to Jinan Wang and Yinglong Miao for useful discussion, suggestions, and feedback about GaMD. This work was supported in part by the grants from US National Institutes of Health (AI163708, GM126140, and GM138472 to Wonpil Im) and National Science Foundation (DBI‐1660380 and MCB‐1810695 to Wonpil Im), and from the National Research Foundation of Korea (NRF‐2020R1A2C2101636 and 2022M3E5F3080873 to Sun Choi).

Keywords

  • collective variables
  • enhanced sampling
  • molecular dynamics
  • rare events

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