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
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;
Journal_Title :
Computational Biology and Bioinformatics, IEEE/ACM Transactions on
DOI :
10.1109/TCBB.2011.141