MoleculeNet ADMET, toxicity and solubility tasks, a large virtual-screening set, and medical QA for the biomedical models.
AI & ML interests
None defined yet.
Literature mining, biomedical QA and entity recognition for target identification and evidence gathering.
De novo molecule generation, forward reaction prediction, retrosynthesis and molecule captioning.
MoleculeNet ADMET, toxicity and solubility tasks, a large virtual-screening set, and medical QA for the biomedical models.
Free, always-on browser tools built by Aurigene AI — no GPU or login required.
Literature mining, biomedical QA and entity recognition for target identification and evidence gathering.
Protein language models, structure prediction and drug–target interaction models.
De novo molecule generation, forward reaction prediction, retrosynthesis and molecule captioning.
Transformer encoders for SMILES/graph/image molecular representations — embeddings, ADMET & MoleculeNet property prediction.