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# PoseBench
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[![Paper](http://img.shields.io/badge/arXiv-2405.14108-B31B1B.svg)](https://arxiv.org/abs/2405.14108)
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[![Paper](http://img.shields.io/badge/arXiv-2405.14108-B31B1B.svg)](https://rdcu.be/eW5oj)
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[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.17536252.svg)](https://doi.org/10.5281/zenodo.17536252)
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[![PyPI version](https://badge.fury.io/py/posebench.svg)](https://badge.fury.io/py/posebench)
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[![Project Status: Active – The project has reached a stable, usable state and is being actively developed.](https://www.repostatus.org/badges/latest/active.svg)](https://www.repostatus.org/#active)
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If you use the code or benchmark method predictions associated with this repository or otherwise find this work useful, please cite:
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```bibtex
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@inproceedings{morehead2024posebench,
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@article{morehead2025posebench,
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title={Assessing the potential of deep learning for protein-ligand docking},
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author={Morehead, Alex and Giri, Nabin and Liu, Jian and Neupane, Pawan and Cheng, Jianlin},
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booktitle={ICML AI4Science Workshop},
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year={2024},
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note={selected as a spotlight presentation},
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journal={Nature Machine Intelligence},
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year={2025},
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note={ICML 2024 AI4Science spotlight presentation},
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}
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```
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