DocumentCode
1352773
Title
Molecular Dynamics Trajectory Compression with a Coarse-Grained Model
Author
Yi-Ming Cheng ; Gopal, S.M. ; Law, S.M. ; Feig, M.
Author_Institution
Dept. of Biochem. & Mol. Biol., Michigan State Univ., East Lansing, MI, USA
Volume
9
Issue
2
fYear
2012
Firstpage
476
Lastpage
486
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 are 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.
Keywords
biology computing; data compression; molecular biophysics; molecular dynamics method; proteins; all-atom representations; analytical reconstruction procedure; coarse-grained model PRIMO; compressed data; energetic features; molecular dynamics trajectory compression; original trajectory; structural features; Accuracy; Biological system modeling; Computational modeling; Proteins; Protocols; Solvents; Trajectory; PRIMO; Proteins; all-atom reconstruction; coarse-grained model.; compression; molecular dynamics simulation; Amino Acids; Computational Biology; Molecular Dynamics Simulation; Proteins;
fLanguage
English
Journal_Title
Computational Biology and Bioinformatics, IEEE/ACM Transactions on
Publisher
ieee
ISSN
1545-5963
Type
jour
DOI
10.1109/TCBB.2011.141
Filename
6051427
Link To Document