Asset Detail:
MuMMI Splash Run 4 for KRAS4b Protein Modeling
Asset Detail:
MuMMI Splash Run 4 for KRAS4b Protein Modeling
Overview
ASSET LINK: | https://modac.cancer.gov/assetDetails?dme_data_id=NCI-DME-MS01-10699461 |
PROGRAM NAME: | NCI-DOE Collaboration |
STUDY NAME: | NCI-DOE Collaboration ADMIRRAL project: KRAS4b Protein Modeling using Multiscale Machine-Learned Modeling Infrastructure (MuMMI) |
ASSET NAME: | MuMMI Splash Run 4 for KRAS4b Protein Modeling |
ASSET PATH: | /NCI_DOE_Archive/JDACS4C/JDACS4C_Pilot_2_MuMMI_KRAS4b_Protein_Modeling_Campaign_1/mummi_kras4b_campaign1_122018 |
Asset Attributes
ATTRIBUTE | VALUE |
---|---|
ASSET NAME | MuMMI Splash Run 4 for KRAS4b Protein Modeling |
ASSET DESCRIPTION | MuMMI Splash Run 4 simulations for Campaign 1. It contains about 6360365 uncompressed files, totaling about 212 TB. The counts represent the files in a state that is approximate of the state found during a simulation campaign. The coarse grained simulation data contains three types of patch tarballs: 1) xtc.tar.gz, a tarball that contains the system tpr file and associated xtc trajectory file. 2) ddcmd.tar.gz, a tarball containing all ddcMD inputs used in the simulation, itp parameter files, snapshots to restart the simulation, and analysis/position data. 3) createsims.tar.gz, a tarball of the system (including intermediate files) as it was constructed by the automated system construction in MuMMI. Additionally, there are macro-scale input files and data consisting of 1) macro file and feedback data (macro.tar.gz) 2) machine learning files (ml/), and 3) macro-patch data (pfpatches/) |
ASSET IDENTIFIER | mummi_kras4b_campaign1_122018 |
ASSET TYPE | Dataset |
PLATFORM VERSION | None |
IS REFERENCE DATASET | No |
COLLECTION SIZE | 143.7 TB |
Asset Files
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