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Orchid Pavilion Preface is a piece of Chinese calligraphy work generally considered to be written by the well-known calligrapher Wang Xizhi (303 – 361) from the Eastern Jin dynasty (317 – 420). Below is my copy: 
Published in ChemRxiv, 2022
Based on CUDA, Uni-Dock achieved more than 1600 times acceleration on GPU compared to CPU and saved five times the cost without losing accuracy. Integrated into advanced industrial Computer-aided drug design (CADD) product, Uni-Dock enables ultra-large virtual screening of early-stage drug discovery in hours, used by hundreds of chemists.
Recommended citation: Yuejiang, Yu. (2022). "Uni-Dock: A GPU-Accelerated Docking Program Enables Ultra-Large Virtual Screening." Accepted by ACS JCTC. https://doi.org/10.26434/chemrxiv-2022-5t5ts
Published in ICLR 2023 MLDD workshop(oral), 2023
We benchmark deep learning models and traditional methods for molecular docking, and find traditional methods are still better.
Recommended citation: Yuejiang, Yu. (2023). "Do deep learning models really outperform traditional approaches in molecular docking?" ICLR 2023 MLDD workshop(oral). https://arxiv.org/abs/2302.07134
Published in Journal of Chemical Theory and Computation, 2023
Based on CUDA, Uni-Dock achieved more than 1600 times acceleration on GPU compared to CPU and saved five times the cost without losing accuracy. Integrated into advanced industrial Computer-aided drug design (CADD) product, Uni-Dock enables ultra-large virtual screening of early-stage drug discovery in hours, used by hundreds of chemists.
Recommended citation: Yuejiang, Yu. (2023). "Uni-Dock: GPU-Accelerated Docking Enables Ultra-Large Virtual Screening." Journal of Chemical Theory and Computation 19.11 (2023). [https://doi.org/10.26434/chemrxiv-2022-5t5ts](https://pubs.acs.org/doi/abs/10.1021/acs.jctc.2c01145)
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Published:
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