Research interests

• Bio▪️Informatics

• Bio▪️Chem▪️Informatics

• Pharmaco▪️Informatics

• AI▪️Genomics

• Bio▪️Medical▪️Informatics

Our researches

• Development of pipelines to predict biomarkers/therapeutic targets

• Development of biological databases using diverse/focused genomic analyses

• Development of AI models to predict biomarker potentials

• Development of AI models to identify novel features of biomarkers

• Study on the genomic features of DNA breakpoints and novel aspects of the fusion genes

• Development of NGS analysis tools for biomarker

• Study the changes in the protein structure when it fused

• Prediction of potential small molecule inhibitors of fusion proteins

Contribution to the Fusion Gene Annotation and Targeting

• FusionBase
  : https://compbio.uth.edu/FusionGDB2/FusionBase.html

Knowledgebase with Bioinformatics Strategy and Pipelines

• FusionGDB: fusion gene annotation DataBase
  : https://ccsm.uth.edu/FusionGDB

• FusionGDB 2.0: fusion gene annotation update aided by deep learning
  : https://compbio.uth.edu/FusionGDB2 

• FusionPDB: fusion protein annotation database
  : https://compbio.uth.edu/FusionPDB 

• FusionNeoAntigen: a resource of fusion gene-specific neoantigens
  : https://compbio.uth.edu/FusionNeoAntigen 

• FusionPub: therapeutic landscape of fusion genes
  : https://compbio.uth.edu/FusionPub/ 

• KinaseFusionDB: knowledgebase of human kinase fusion genes/proteins on a multi-scale
  : https://compbio.uth.edu/KinaseFusionDB/ 

• ExonSkipDB: functional annotation of exon skipping event in human
  : https://ccsm.uth.edu/ExonSkipDB

Webservers with User Interactive Functions for Bioinformatics Analyses

• FGviewer:  an online visualization tool for functional features of human fusion genes
  : https://ccsmweb.uth.edu/FGviewer

AI models for Biomedical Informatics

• FusionAI: Predicting Fusion Breakpoint from DNA Sequence with Deep Learning
  : https://compbio.uth.edu/FusionGDB2/FusionAI

• FusionNW:  a clinical impact assessment of kinases in pan-cancer fusion gene network
  : https://compbio.uth.edu/FusionPDB/FusionNW/ 

• AllergenAI: a deep learning model predicting allergenicity based on protein sequence
  : https://compbio.uth.edu/AllergenAI/ 

Next-Generation Sequencing Data Analyses

• FusionScan: accurate prediction of fusion genes from RNA-Seq data

• ChimerDB 2.0: a knowledgebase for fusion genes updated