Therapeutic Data Commons (TDC)

The Therapeutic Data Commons (TDC) is a benchmark used to evaluate models on tasks related to therapeutic design, containing diverse datasets that facilitate the assessment of AI-driven discovery in the context of drug development.

Papers using Therapeutic Data Commons (TDC) (9)

A Dataset for Distilling Knowledge Priors from Literature for Therapeutic Design2025 · 1 citesStructure-Aware Fusion with Progressive Injection for Multimodal Molecular Representation Learning2025 · 2 citesAdvancing Drug Discovery with Enhanced Chemical Understanding via Asymmetric Contrastive Multimodal Learning2023 · 2 citesReinforcement Learning with LLM-Guided Action Spaces for Synthesizable Lead Optimization2026Quantum-Enhanced Multi-Task Learning with Learnable Weighting for Pharmacokinetic and Toxicity Prediction2025Uni-QSAR: an Auto-ML Tool for Molecular Property Prediction2023 · 12 citesMolE: a molecular foundation model for drug discovery2022 · 8 citesOtter-Knowledge: benchmarks of multimodal knowledge graph representation learning from different sources for drug discovery2023 · 2 citesAnalysis of Atom-level pretraining with Quantum Mechanics (QM) data for Graph Neural Networks Molecular property models2024