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  # P2DFlow
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- > ## ℹ️ The version 2 code of P2DFlow has been released!
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-
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  P2DFlow is a protein ensemble generative model with SE(3) flow matching based on ESMFold, the ensembles generated by P2DFlow could aid in understanding protein functions across various scenarios.
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- Technical details and evaluation results are provided in our paper:
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- * [P2DFlow: A Protein Ensemble Generative Model with SE(3) Flow Matching](https://arxiv.org/abs/2411.17196)
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  ## Table of Contents
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  ## Citation
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  ```
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- @article{jin2024p2dflow,
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  title={P2DFlow: A Protein Ensemble Generative Model with SE(3) Flow Matching},
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  author={Yaowei Jin, Qi Huang, Ziyang Song, Mingyue Zheng, Dan Teng, Qian Shi},
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- journal={arXiv preprint arXiv:2411.17196},
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- year={2024}
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  }
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  ```
 
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  # P2DFlow
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  P2DFlow is a protein ensemble generative model with SE(3) flow matching based on ESMFold, the ensembles generated by P2DFlow could aid in understanding protein functions across various scenarios.
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+ Technical details and evaluation results are provided in our paper ( 🎉 It has been accepted by JCTC ):
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+ * [P2DFlow: A Protein Ensemble Generative Model with SE(3) Flow Matching](https://pubs.acs.org/doi/abs/10.1021/acs.jctc.4c01620)
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  ## Table of Contents
 
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  ## Citation
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  ```
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+ @article{jin2025p2dflow,
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  title={P2DFlow: A Protein Ensemble Generative Model with SE(3) Flow Matching},
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  author={Yaowei Jin, Qi Huang, Ziyang Song, Mingyue Zheng, Dan Teng, Qian Shi},
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+ journal={Journal of Chemical Theory and Computation},
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+ year={2025}
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  }
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  ```