%0 Journal Article %1 ZwierChong2015WESTPA %A Zwier, Matthew C. %A Adelman, Joshua L. %A Kaus, Joseph W. %A Pratt, Adam J. %A Wong, Kim F. %A Rego, Nicholas B. %A Suárez, Ernesto %A Lettieri, Steven %A Wang, David W. %A Grabe, Michael %A Zuckerman, Daniel M. %A Chong, Lillian T. %D 2015 %J Journal of Chemical Theory and Computation %K computational-biology software weighted-ensemble %N 2 %P 800-809 %R 10.1021/ct5010615 %T WESTPA: An Interoperable, Highly Scalable Software Package for Weighted Ensemble Simulation and Analysis %U /brokenurl# http://dx.doi.org/10.1021/ct5010615 %V 11 %X The weighted ensemble (WE) path sampling approach orchestrates an ensemble of parallel calculations with intermittent communication to enhance the sampling of rare events, such as molecular associations or conformational changes in proteins or peptides. Trajectories are replicated and pruned in a way that focuses computational effort on underexplored regions of configuration space while maintaining rigorous kinetics. To enable the simulation of rare events at any scale (e.g., atomistic, cellular), we have developed an open-source, interoperable, and highly scalable software package for the execution and analysis of WE simulations: WESTPA (The Weighted Ensemble Simulation Toolkit with Parallelization and Analysis). WESTPA scales to thousands of CPU cores and includes a suite of analysis tools that have been implemented in a massively parallel fashion. The software has been designed to interface conveniently with any dynamics engine and has already been used with a variety of molecular dynamics (e.g., GROMACS, NAMD, OpenMM, AMBER) and cell-modeling packages (e.g., BioNetGen, MCell). WESTPA has been in production use for over a year, and its utility has been demonstrated for a broad set of problems, ranging from atomically detailed host–guest associations to nonspatial chemical kinetics of cellular signaling networks. The following describes the design and features of WESTPA, including the facilities it provides for running WE simulations and storing and analyzing WE simulation data, as well as examples of input and output.

@article{ZwierChong2015WESTPA, abstract = { The weighted ensemble (WE) path sampling approach orchestrates an ensemble of parallel calculations with intermittent communication to enhance the sampling of rare events, such as molecular associations or conformational changes in proteins or peptides. Trajectories are replicated and pruned in a way that focuses computational effort on underexplored regions of configuration space while maintaining rigorous kinetics. To enable the simulation of rare events at any scale (e.g., atomistic, cellular), we have developed an open-source, interoperable, and highly scalable software package for the execution and analysis of WE simulations: WESTPA (The Weighted Ensemble Simulation Toolkit with Parallelization and Analysis). WESTPA scales to thousands of CPU cores and includes a suite of analysis tools that have been implemented in a massively parallel fashion. The software has been designed to interface conveniently with any dynamics engine and has already been used with a variety of molecular dynamics (e.g., GROMACS, NAMD, OpenMM, AMBER) and cell-modeling packages (e.g., BioNetGen, MCell). WESTPA has been in production use for over a year, and its utility has been demonstrated for a broad set of problems, ranging from atomically detailed host–guest associations to nonspatial chemical kinetics of cellular signaling networks. The following describes the design and features of WESTPA, including the facilities it provides for running WE simulations and storing and analyzing WE simulation data, as well as examples of input and output. }, added-at = {2016-01-25T23:19:21.000+0100}, author = {Zwier, Matthew C. and Adelman, Joshua L. and Kaus, Joseph W. and Pratt, Adam J. and Wong, Kim F. and Rego, Nicholas B. and Suárez, Ernesto and Lettieri, Steven and Wang, David W. and Grabe, Michael and Zuckerman, Daniel M. and Chong, Lillian T.}, biburl = {https://www.bibsonomy.org/bibtex/26736170bb9b695d02fbe10a3f819f806/salotz}, description = {WESTPA: An Interoperable, Highly Scalable Software Package for Weighted Ensemble Simulation and Analysis - Journal of Chemical Theory and Computation (ACS Publications)}, doi = {10.1021/ct5010615}, eprint = {http://dx.doi.org/10.1021/ct5010615}, interhash = {65de2e9d9a096bbf728a763c84f49557}, intrahash = {6736170bb9b695d02fbe10a3f819f806}, journal = {Journal of Chemical Theory and Computation}, keywords = {computational-biology software weighted-ensemble}, number = 2, pages = {800-809}, timestamp = {2016-01-25T23:19:21.000+0100}, title = {WESTPA: An Interoperable, Highly Scalable Software Package for Weighted Ensemble Simulation and Analysis}, url = {/brokenurl# http://dx.doi.org/10.1021/ct5010615 }, volume = 11, year = 2015 }