4 papers
TRIDS: AI-native molecular docking framework for accelerating high-throughput virtual screening with physically valid binding poses
Xuhan Liu, Baohua Zhang, Yue Xue +7
Molecular docking is a cornerstone of drug discovery for unveiling the mechanism of ligand-receptor interactions. With the recent advances of deep learning (DL), AI-powered molecul…
Multi-objective fluorescent molecule design with a data-physics dual-driven generative framework
Yanheng Li, Zhichen Pu, Lijiang Yang +2
Designing fluorescent small molecules with tailored optical and physicochemical properties requires navigating vast, underexplored chemical space while satisfying multiple objectiv…
Large Language Models as AI Agents for Digital Atoms and Molecules: Catalyzing a New Era in Computational Biophysics
Yijie Xia, Xiaohan Lin, Zicheng Ma +9
In computational biophysics, where molecular data is expanding rapidly and system complexity is increasing exponentially, large language models (LLMs) and agent-based systems are f…
A Generalized Nucleation Theory for Ice Crystallization
Maodong Li, Yupeng Huang, Yijie Xia +5
Despite the simplicity of the water molecule, the kinetics of ice nucleation under natural conditions can be complex. We investigated spontaneously grown ice nuclei using all-atom…