Datasets:
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license: CC BY-ND 4.0</br>
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Tags:
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- Chemistry
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- Biology
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- Molecular Dynamics
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- Neural Network Potential
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---
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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 450 K.
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## Availability
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- [torchmd-net dataloader](https://github.com/torchmd/torchmd-net/blob/main/torchmdnet/datasets/mdcath.py)
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- [playmolecule](https://open.playmolecule.org/mdcath)
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---
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## Citing The Dataset
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Please cite this manuscript for papers that use the mdCATH dataset:
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Antonio Mirarchi, Toni Giorgino, Gianni De Fabritiis. "mdCATH: A Large-Scale MD Dataset for Data-Driven Computational Biophysics" ([arXiv:2407.14794](https://arxiv.org/abs/2407.14794v1))
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## Dataset Size
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| Description | Value |
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| Avg. domain length | 137 AAs |
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| Total file size | 3.3 TB |
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---
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viewer: false
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license: cc-by-4.0
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tags:
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- chemistry
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- biology
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- molecular dynamics
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- neural network potential
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pretty_name: 'mdCATH: A Large-Scale MD Dataset for Data-Driven Computational Biophysics'
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---
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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 450 K.
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## Availability
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- [torchmd-net dataloader](https://github.com/torchmd/torchmd-net/blob/main/torchmdnet/datasets/mdcath.py)
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- [playmolecule](https://open.playmolecule.org/mdcath)
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- [scripts to load and convert](https://github.com/giorginolab/mdcath-utils/tree/main)
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## Citing The Dataset
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Please cite this manuscript for papers that use the mdCATH dataset:
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> Antonio Mirarchi, Toni Giorgino, Gianni De Fabritiis. "mdCATH: A Large-Scale MD Dataset for Data-Driven Computational Biophysics" ([arXiv:2407.14794](https://arxiv.org/abs/2407.14794v1))
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## Dataset Size
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| Description | Value |
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| Avg. domain length | 137 AAs |
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| Total file size | 3.3 TB |
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