| Literature DB >> 22025759 |
Yi-Ming Cheng1, Srinivasa Murthy Gopal, Sean M Law, Michael Feig.
Abstract
Molecular dynamics trajectories are very data-intensive thereby limiting sharing and archival of such data. One possible solution is compression of trajectory data. Here, trajectory compression based on conversion to the coarse-grained model PRIMO is proposed. The compressed data is about one third of the original data and fast decompression is possible with an analytical reconstruction procedure from PRIMO to all-atom representations. This protocol largely preserves structural features and to a more limited extent also energetic features of the original trajectory.Entities:
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Year: 2011 PMID: 22025759 PMCID: PMC3505254 DOI: 10.1109/TCBB.2011.141
Source DB: PubMed Journal: IEEE/ACM Trans Comput Biol Bioinform ISSN: 1545-5963 Impact factor: 3.710