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Cited by 481

The DOI matches its Crossref record; 61 of the 61 references it cites were found in a registry or an index.

GPU-Accelerated Molecular Dynamics and Free Energy Methods in Amber18: Performance Enhancements and New Features

Open access
Lee, Tai-Sung, Cerutti, David S., Mermelstein, Dan, Lin, Charles, LeGrand, Scott, Giese, Timothy J., Roitberg, Adrian, Case, David A., Walker, Ross C., York, Darrin M.·2018·Journal of Chemical Information and Modeling

Abstract

We report progress in graphics processing unit (GPU)-accelerated molecular dynamics and free energy methods in Amber18. Of particular interest is the development of alchemical free energy algorithms, including free energy perturbation and thermodynamic integration methods with support for nonlinear soft-core potential and parameter interpolation transformation pathways. These methods can be used in conjunction with enhanced sampling techniques such as replica exchange, constant-pH molecular dynamics, and new 12-6-4 potentials for metal ions. Additional performance enhancements have been made that enable appreciable speed-up on GPUs relative to the previous software release.

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Metadata

Authors
Lee, T.-S., Cerutti, D. S., Mermelstein, D., Lin, C., LeGrand, S., Giese, T. J., Roitberg, A., Case, D. A., Walker, R. C., & York, D. M.
Venue
Journal of Chemical Information and Modeling
Published
2018-09-10
Volume
58
Issue
10
Pages
2043-2050
ISSN
  • 1549-9596 (ISSN-L)
  • 1549-960X
OpenAlex
W2891791233
Cited by
481
References
61
FWCI
18.11
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: GPU-Accelerated Molecular Dynamics and Free Energy Methods in Amber18: Performance Enhancements and New Features. https://app.cochat.ai/papers/10.1021/acs.jcim.8b00462
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Lee, T.-S., Cerutti, D. S., Mermelstein, D., Lin, C., LeGrand, S., Giese, T. J., Roitberg, A., Case, D. A., Walker, R. C., & York, D. M. (2018). GPU-Accelerated Molecular Dynamics and Free Energy Methods in Amber18: Performance Enhancements and New Features. Journal of Chemical Information and Modeling. https://doi.org/10.1021/acs.jcim.8b00462

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