Area of research
Molecular Biology · Political Science and International Relations
Research interest
Research interests include Computer science, Generative model, Artificial intelligence, Protein function, Epitope, and Antibody.
Neural assemblies uncovered by generative modeling explain whole-brain activity statistics and reflect structural connectivity
Discriminating physiological from non‐physiological interfaces in structures of protein complexes: A community‐wide study
Discriminating physiological from non-physiological interfaces in structures of protein complexes: a community-wide study
ScanNet: an interpretable geometric deep learning model for structure-based protein binding site prediction
Superimmunity by pan-sarbecovirus nanobodies
Reduced B cell antigenicity of Omicron lowers host serologic response
ScanNet: A Web Server for Structure-based Prediction of Protein Binding Sites with Geometric Deep Learning
Author response: Neural assemblies uncovered by generative modeling explain whole-brain activity statistics and reflect structural connectivity
Neural assemblies uncovered by generative modeling explain whole-brain activity statistics and reflect structural connectivity