Model
Proteina-Complexa is a flow-matching generative model for fully atomistic protein binder design, jointly generating amino acid sequences and all-atom 3D coordinates from noise using a partially latent architecture derived from La-Proteina.
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| Field | Response |
|---|---|
| Generatable or reverse engineerable personal data? | No |
| Personal data used to create this model? | No |
| How often is dataset reviewed? | Before Release |
| Is there provenance for all datasets used in training? | Yes |
| Does data labeling (annotation, metadata) comply with privacy laws? | Yes |
| Was data from user interactions with the AI model (e.g. user input and prompts) used to train the model? | No |
| Is data compliant with data subject requests for data correction or removal, if such a request was made? | No, not possible with externally-sourced data |
| Applicable Privacy Policy | NVIDIA Privacy Policy |