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CUDA · Drug discovery and cheminformatics
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | 1.Esmfold2 Biohub ESMFold2 / ESMFold2-Fast all-atom co-folding (Candido et al. | JimLiu/ | 228 | 4 repos | ~2.5k | Automated safety check: Pass | Apache-2.0 | 3 mo ago |
| 2 | Predicts how small molecules bind to a protein with DiffDock, covering batch docking, pose ranking by confidence and checks on the results; not for binding affinity. | K-Dense-AI/ | 48k | 1 repo | ~3k | Automated safety check: Notes | MIT | 6 days ago |
| 3 | Builds and troubleshoots TorchDrug 0.2.1 workflows for molecular graphs, property prediction, self-supervised pretraining, molecule generation, retrosynthesis, protein representation learning, and… | K-Dense-AI/ | 48k | 1 repo | ~3k | Automated safety check: Notes | Apache-2.0 | 6 days ago |
| 4 | Write code that calls the installed nvMolKit Python API for GPU-accelerated, batched RDKit-style operations - Morgan fingerprints, Tanimoto/cosine similarity, ETKDG conformer embedding, MMFF/UFF… | NVIDIA-BioNeMo/ | 479 | — | ~4.4k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 5 | Continue KERMT pretraining on a custom SMILES corpus with a groverbase, cmim, or hybrid checkpoint. | NVIDIA/ | 3.6k | 1 repo | ~4.1k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 6 | Extract per-molecule embeddings from any encoder-bearing KERMT checkpoint. | NVIDIA/ | 3.6k | 1 repo | ~1.9k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 7 | A skill your agent uses when writing or debugging nvMolKit Python code for GPU-accelerated RDKit fingerprints, similarity, conformers, clustering, and molecular searches. | NVIDIA/ | 3.6k | 1 repo | ~4.8k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 8 | Run predictions with a finetuned KERMT checkpoint on a SMILES-only CSV. | NVIDIA/ | 3.6k | 1 repo | ~1.5k | Automated safety check: Pass | Apache-2.0 | 2 days ago |