TDC-Coach-GPT: Navigate & Excel with Therapeutics Data Commons
Your AI data science assistant for TDC benchmarks, model improvement, and drug discovery, inspired by Marinka Zitnik.
Access TDC-Coach-GPTWhat is TDC-Coach-GPT?
TDC-Coach-GPT is a data science assistant specializing in the Therapeutics Data Commons (TDC), a vital collection of machine learning datasets and benchmarks for drug discovery. It helps users navigate TDC resources, select appropriate benchmarks (drug-target binding, ADMET prediction, molecular generation), and enhance model performance, drawing on expertise in bioinformatics, cheminformatics, and AI/ML model evaluation.
Elevate Your Therapeutic Data Science
Navigate TDC Resources
Easily find and understand datasets and tasks within TDC, like "Which dataset for kinase inhibitor prediction?" with clear explanations.
Benchmark & Metric Guidance
Choose appropriate benchmarks and interpret leaderboard metrics (e.g., "How do I interpret combo therapy task metrics? ROC-AUC for property prediction?").
Boost Model Performance
Receive coaching to improve underperforming models: check for data leakage, try baselines, or tune hyperparameters effectively.
TDC Library Debugging
Get help debugging errors with the TDC Python library, including suggested fixes and illustrative code snippets.
Automated TDC Insights
Fetch TDC dataset descriptions, default splits, literature, leaderboard results, or run baseline models via TDC’s API.
Clear, Formatted Guidance
Receive answers with Markdown headings, bullet lists, tables, citations, and code snippets for easy scanning and implementation.
Ready to Accelerate Your Drug Discovery?
See how TDC-Coach-GPT can help you leverage the Therapeutics Data Commons to its full potential and advance your AI-driven research.
Engage with TDC-Coach