6 papers
A Massively Scalable Ligand-Protein Dissociation Dynamic Database Derived from Atomistic Molecular Modelling
Maodong Li, Dechin Chen, Zhijun Pan +2
Understanding the kinetics of drug-protein interactions is paramount for drug design, yet the field lacks large-scale, dynamic data to move beyond static structural analysis. Here,…
A Novel 4-D Dataset Paradigm for Studying Complete Ligand-Protein Dissociation Dynamics
Maodong Li, Jiying Zhang, Zhe Wang +7
The kinetics and dynamics of drug-protein binding and dissociation are crucial to understanding drug absorption and metabolism. Despite advances in artificial intelligence (AI) too…
Great Restraining Wall in Multidimensional Collective Variable Space
Zhijun Pan, Maodong Li, Dechin Chen +1
Enhanced sampling methods are pivotal for exploring rare events in molecular dynamics (MD), yet face challenges in high-dimensional collective variable (CV) spaces where exhaustive…
Performing Path Integral Molecular Dynamics Using Artificial Intelligence Enhanced Molecular Simulation Framework
Cheng Fan, Maodong Li, Sihao Yuan +4
This study employed an artificial intelligence-enhanced molecular simulation framework to enable efficient Path Integral Molecular Dynamics (PIMD) simulations. Owing to its modular…
A Sinking Approach to Explore Arbitrary Areas in Free Energy Landscapes
Zhijun Pan, Maodong Li, Dechin Chen +1
To address the time-scale limitations in molecular dynamics (MD) simulations, numerous enhanced sampling methods have been developed to expedite the exploration of complex free ene…
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…