CataAI/PoseX
PoseX: AI Defeats Physics Approaches on Protein-Ligand Cross Docking Paper | GitHub | Leaderboard PoseX is a comprehensive benchmark dataset designed to evaluate molecular docking algorithms for predicting protein-ligand binding poses. It includes curated datasets for both self-docking and cross-docking scenarios. The file posex_set.zip contains the processed dataset for docking evaluation, while posex_cif.zip contains the raw CIF files from RCSB PDB. For information about… See the full description on the dataset page: https://huggingface.co/datasets/CataAI/PoseX.
| Author / organization | CataAI |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 428 (as reported by Hugging Face) |
| Likes | 8 |
| Created | 24 April 2025 |
| Last updated at source | 29 April 2026 |
Recent changes
- 16 Oct 2026 Description: PoseX: AI Defeats Physics Approaches on Protein-Ligand Cross Docking Paper | GitHub | Leaderboard PoseX is a comprehensive benchmark dataset designed to evaluate molecular docking algorithms for predicting protein-ligand binding poses. It i → PoseX: AI Defeats Physics Approaches on Protein-Ligand Cross Docking Paper | GitHub | Leaderboard PoseX is a comprehensive benchmark dataset designed to evaluate molecular docking algorithms for predicting protein-ligand binding poses. It i
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