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| license: cc-by-nd-4.0 |
| tags: |
| - chemistry |
| - biology |
| - molecular dynamics |
| - neural network potential |
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| # mdCATH: A Large-Scale MD Dataset for Data-Driven Computational Biophysics |
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| This dataset comprises all-atom systems for 5,398 CATH domains, modeled with a state-of-the-art classical force field, and simulated in five replicates each at five temperatures from 320 K to 413 K. |
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| ## Availability |
| - torchmd-net dataloader |
| - playmolecule |
| - vmd script to load and analysis |
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| ## Citing The Dataset |
| Please cite this manuscript for papers that use the mdCATH dataset: |
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| ## Dataset Size |
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| | Description | Value | |
| |:---------------------|:-------------| |
| | Domains | 5,398 | |
| | Trajectories | 134,925 | |
| | Total sampled time | 62.6 ms | |
| | Total atoms | 11,671,592 | |
| | Total amino acids | 740,813 | |
| | Avg. traj. length | 464 ns | |
| | Avg. system size | 2,162 atoms | |
| | Avg. domain length | 137 AAs | |
| | Total file size | 3.3 TB | |
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