About us
Our lab is primarily a computational biology/bioinformatic group that develops and uses a wide range of genomic, bioinformatic, and statistical methods, we mainly focus on the following fields:
We are always looking for new group members with passion, talent, and grit!
CodLncScape Provides a Self-Enriching Framework for the Systematic Collection and Exploration of Coding LncRNAs. Advanced Science, 2024, 11 (22): 2400009.
Cm-siRPred: Predicting chemically modified siRNA efficiency based on multi-view learning strategy. International Journal of Biological Macromolecules, 2024, 264(pt2): 130638.
Attention is all you need: utilizing attention in AI-enabled drug discovery. Briefings in Bioinformatics, 2024, 25(1): bbad467.
Predicting intercellular communication based on metabolite-related ligand-receptor interactions with MRCLinkdb. BMC biology, 2024, accepted.
CellCall: Integrating paired ligand-receptor and transcription factor activities for cell-cell communication. Nucleic Acids Research,2021, 49 (15), 8520-8534.
Cellinker: a platform of ligand-receptor interactions for intercellular communication analysis. Bioinformatics, 2021, 37 (14), 2025-2032.
P450Rdb: A manually curated database of reactions catalyzed by cytochrome P450 enzymes. Journal of Advanced Research, 2023.
TCM2COVID: A resource of anti-COVID-19 traditional Chinese medicine with effects and mechanisms. iMeta, 2022, 1(4): e42.
cncRNAdb: a manually curated resource of experimentally supported RNAs with both protein-coding and noncoding function. Nucleic Acids Research,2021, 49 (D1), D65-D70.