E2VD: a unified evolution-driven framework for virus variation drivers prediction
E2VD
Jun 1, 2024
Towards anchoring evolutionary fitness for protein stability with virtual chemical environment recovery
May 1, 2024
Interpretable antibody-antigen interaction prediction by introducing route and priors guidance
Mar 15, 2024
Hunting for peptide binders of specific targets with data-centric generative language models
Feb 1, 2024
Semantic knowledge graph as a companion for catalyst recommendation
Jan 1, 2024
ProtFAD: Introducing function-aware domains as implicit modality towards protein function perception
Jan 1, 2024
ACM Gordon Bell Special Prize Finalist - Running ahead of evolution—AI-based simulation for predicting future high-risk SARS-CoV-2 variants
Running ahead of evolution
Jul 1, 2023
Encoding the atomic structure for machine learning in materials science
Jan 1, 2022
Automating materials exploration with a semantic knowledge graph for Li-ion battery cathodes
Jan 1, 2022
Generative models for inverse design of inorganic solid materials
Jan 1, 2021