Chao Liu

dbGIST is a multi-omics resource for GIST research that integrates diverse datasets and provides analytical tools for target exploration and cross-dataset validation.

This paper introduces Deepeptide, a deep learning pipeline that identifies therapeutic oligopeptides for metabolic diseases, finding 62% of candidates show significant in vitro bioactivity comparable to first-line drugs.

SpotLink identifies site non-specific cross-links at the proteome scale with high sensitivity and precision, outperforming existing methods on simulated and protein complexes datasets.