Xibin Zhou

DOMINO generates multidomain proteins by learning domain co-occurrence patterns and using them to design novel sequences with high structural confidence.

The paper introduces SaprotHub, a platform that simplifies training and sharing of protein language models, enabling non-experts to build and collaborate on customized models.

ProTrek introduces a tri-modal contrastive learning model for protein sequence, structure, and function, achieving significant improvements in speed and accuracy over existing tools.

PRIME is a multi-agent system that dynamically synthesizes computational workflows for protein engineering, outperforming existing AI agents in complex tasks.

Evolla, a protein-language model, improves functional inference and discovers novel proteins through natural language queries and benchmarking.