Jiaxin Hu

The paper introduces CEE, a framework to assess genetic perturbation target identification by eliminating evaluation artefacts, and finds simple methods outperform complex models.

This paper introduces RF-PepTune, a method that improves cyclic peptide design by preserving binding geometry while optimizing multiple properties, achieving higher success rates in structural and functional criteria.

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

This paper introduces a method for 3D multiscale analysis of joints, revealing neurovascular changes linked to pain and degeneration across species and tissues.