Chen Fang

This paper develops a language-model agent for hit-to-lead optimization that outperforms existing methods on four kinase targets in a computational benchmark.

Cell-Graph Compass (CGC) is a foundation model that uses graph structures to represent single cells, capturing multiple biological perspectives and achieving state-of-the-art results in downstream tasks.

This study evaluates seven large language models on their ability to understand genes and cells, finding they have some capability but require improvements in cell annotation tasks.