Title
ELF: An Extended-Lagrangian Free-Energy Calculation Module for Multiple Molecular Dynamics Engines.
Abstract
Extended adaptive biasing force (eABF), a collective variable (CV)-based importance-sampling algorithm, has proven to be very robust and efficient compared with the original ABF algorithm. Its implementation in Colvars, a software addition to molecular dynamics (MD) engines, is, however, currently limited to NAMD and LAMMPS. To broaden the scope of eABF and its variants, like its generalized form (egABF), and make them available to other MD engines, e.g., GROMACS, AMBER, CP2K, and openMM, we present a PLUMED-based implementation, called extended-Lagrangian free energy calculation (ELF). This implementation can be used as a stand-alone gradient estimator for other CV-based sampling algorithms, such as temperature-accelerated MD (TAMD) and extended-Lagrangian metadynamics (MtD). ELF provides the end user with a convenient framework to help select the best-suited importance-sampling algorithm for a given application without any commitment to a particular MD engine.
Year
DOI
Venue
2018
10.1021/acs.jcim.8b00115
JOURNAL OF CHEMICAL INFORMATION AND MODELING
DocType
Volume
Issue
Journal
58
7
ISSN
Citations 
PageRank 
1549-9596
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Haochuan Chen100.68
Haohao Fu242.08
Xueguang Shao36310.81
Christophe Chipot401.01
Wensheng Cai56810.88