Enhancing Challenging Target Screening via Multimodal Protein-Ligand Contrastive Learning
Zhen Wang, Zhanfeng Wang, Maohua Yang, Long Pang, Fangyuan Nie, Siyuan Liu, Zhifeng Gao, Guojiang Zhao, Xiaohong Ji, Dandan Huang, Zhengdan Zhu, Dong‐Dong Li, Yannan Yuan, Hang Zheng, Linfeng Zhang, , Feng Yu
Uni-Clip improves protein-ligand interaction modeling for undruggable and druggable targets using multimodal contrastive learning, showing significant performance gains in benchmark datasets.
bioRxiv · Aug 22, 2024 · PreprintBioinformatics