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Therapeutics Data Commons

K-Dense-AI/claude-scientific-skills

PyTDC offers curated AI-ready datasets, standardized benchmarks, and scaffold-aware splits across ADME, toxicity, interaction, and generation tasks to support therapeutic ML and pharmacological prediction workflows.

Survival Analysis Toolkit

scikit-survival

K-Dense-AI/claude-scientific-skills

Comprehensive scikit-survival guidance for handling censored data, building Cox, ensemble, and SVM survival models, and evaluating time-to-event predictions with concordance, AUC, and Brier scores, making it ideal for clinical or reliability studies in Python.

InterPro Protein Annotation

interpro-database

K-Dense-AI/claude-scientific-skills

Query InterPro for protein family, domain, and GO annotations via a REST API with Python helpers, enabling function prediction, domain architecture mapping, and evolutionary classification insights for proteomic workflows.

PyMC Bayesian Workflow

K-Dense-AI/claude-scientific-skills

Guides building, fitting, and validating Bayesian models with PyMC 5+, covering hierarchical structures, MCMC (NUTS), variational inference, diagnostic checks, model comparison (LOO/WAIC), and prediction steps for principled uncertainty quantification.

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