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Model
DSMBind is an energy-based model that has been trained on protein-ligand complexes to predict binding affinities. The model produces comparative values that are useful for ranking protein-ligand binding affinities.
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| Field | Response |
|---|---|
| Model Application(s): | Protein-Ligand Binding Affinity Prediction |
| Describe the life-critical application (if present). | None |
| Use Case Restrictions: | Abide by https://docs.nvidia.com/ai-foundation-models-community-license.pdf |
| Describe access restrictions (if any): | The Principle of least privilege (PoLP) is applied limiting access for dataset generation and model development. Restrictions enforce dataset access during training, and dataset license constraints adhered to. |