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Published March 14, 2022 | Version v1
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MD simulation of POPC bilayer with OPLS3e force field, 500 mM CaCl2 part 1

Description

MD simulation of POPC bilayer with OPLS3e force field, 500 mM CaCl2 part 1

Dataset contains trajectories (_trj) for the first 500ns of the 1000ns trajectory, topology (-out.cms) and input files (.cfg, .msj, .cms).

For the ease of the upload, trajectory files (_trj) are divided to 100ns pieces and tarred (named desmond_md_cacl500_x-xns.tar.gz)

Dataset also contains Gromacs converted files (.xtc, .gro and .top). Converted trajectories is also for the first 500 ns of 1000 ns, and are as 100 ns pieces for analysis since simulation did not equilibrate during 1000 ns.

System: POPC bilayer in water

Number of lipids: 200 (100/leaflet)

Number of waters: 8880

Salt: CaCl2

Concentration: 500 mM

Number of cations: 80

Simulation time: 1000 ns (in this dataset 0-500ns)

Simulation engine: Desmond 2019-4

Temperature: 300 K

Related dataset: MD simulation of POPC bilayer with OPLS3e force field, 500 mM CaCl2 part 2

Files

Files (39.9 GB)

Name Size Download all
md5:382e3d008379dca8f4f4dfe58611a347
2.0 GB Download
md5:f3c46948ac28344fb0bbc7cbe1d8404f
2.0 GB Download
md5:8006882c06b4627b6463c170ea6aef13
2.0 GB Download
md5:654326ec8278720c97f6a251b0a877a1
2.0 GB Download
md5:48ce86045a8f43f78913ea4a55c13b80
2.0 GB Download
md5:6dc1824bb4e801403835ee0a514df816
15.4 MB Download
md5:90a0695c3fa7a7fcb132418d0f5bd18d
127.2 kB Download
md5:7941009d49a18bd39f853b55e9cbddc0
1.2 kB Download
md5:cd3d06f364f0da5be30b53cbeefd941c
14.7 MB Download
md5:5d49360352f59df4dbf3e0496d55b32f
68.3 MB Download
md5:e5854f98bb4d1eadf704fe405f334243
5.1 kB Download
md5:b247f03163c25333e220357619f99dcc
5.9 GB Download
md5:d8c37d2c37b9646e1367594a3953d772
5.9 GB Download
md5:60ef18835c4d1d0414ebd2f6f217c4ba
5.9 GB Download
md5:ce1c3b5a72c072014b3f143995222a08
5.9 GB Download
md5:2be61d6940e7365af3f9bc3a3d81475a
15.6 MB Download
md5:157fdf60a12df6bc0699c6560c278fd4
5.9 GB Download
md5:043341d1e4932c9fb9d32932528f5cd7
3.7 MB Download
md5:1ba9e37c3bd109fc7de9b12b9c8fbd69
3.7 MB Download

Additional details

Related works

Compiles
Preprint: 10.26434/chemrxiv-2022-m89bg (DOI)