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NIBS/Tsinghua University
- Beijing, China
- https://orcid.org/0009-0004-7680-7609
Highlights
- Pro
Stars
BoltzGen: Toward Universal Binder Design
Jupyter Notebooks for learning the PyRosetta platform for biomolecular structure prediction and design
Predicting high-fitness mutations based on protein inverse folding models
Making Protein Language Modeling Accessible to All Biologists
HyperMPNN ‒ A general strategy to design thermostable proteins learned from hyperthermophiles
Latents-based conformational control in OpenFold3.
Code release for "Improving diffusion-based protein backbone generation with global-geometry-aware latent encoding"
Predicts the solubility and usability for purification of proteins expressed in E. coli using protein language models
Deep Learning Library and Benchmark for Protein Sequence Learning (Bioinformatics 2025)
Code supporting the Protein Design Archive (PDA) database publication