Databases & Tools

Here you can find the open-source resources and multi-omics databases developed by Zhang Laboratory.

1. KICDB: Kinase Inhibitor Cardiotoxicity Database

Primary Server: http://103.212.49.73:30168/KICDB/ Backup Server: https://zhang-lab-database.shinyapps.io/KICDB/
Official Publication: Br J Pharmacol (2026) | DOI: 10.1111/bph.70599 | PMID: 42464730

Full Title: Kinase Inhibitor Cardiotoxicity Database (KICDB): A Causality-Oriented Multi-Omics Database for Kinase Inhibitor-Induced Cardiotoxicity

Authors: Jiamin Wei, Yin Liu, Miaoqing Wu, Guoyuan Li, Xinyao Zheng, Huafeng Fu, Jian Zhang, Jijin Lin

Abstract:

  • Background: Kinase inhibitors (KIs) are mainstays of targeted cancer therapy, but their clinical utility is frequently limited by cardiotoxicity. A systematic resource to explore the underlying causal mechanisms is urgently needed.
  • Methods: We present the KICDB, a comprehensive and interactive web server built upon a framework integrating large-scale transcriptomics meta-analysis with causal inference.
  • Results: This database centralizes the findings from a comprehensive meta-analysis of 26 kinase inhibitors (KIs) across 7 studies (n=5291) identified 8,907 significant gene expression changes in human cardiomyocytes.
  • Conclusions: KICDB serves as a valuable and accessible platform for the cardio-oncology community.

2. CardioRisk-DB: Cardiotoxicity Screening Platform

Primary Server: http://103.212.49.73:30168/CardioRisk-DB/
Backup Server: https://zhang-lab-database.shinyapps.io/CardioRisk-DB/

Full Title: Phenotype-anchored molecular distillation enables robust transcriptomic modeling of cardiotoxicity Subtitle: CardioRisk-DB: a platform for cardiotoxicity screening across drugs and environmental chemicals

Authors: Jiamin Wei, Yujie Yuan, Ji Won Park, Liaonan Zou, Jian Zhang

Abstract:

  • Background: Humans are continually exposed to thousands of environmental chemicals whose cardiovascular risks remain unexplored. Translating in vitro hiPSC-CM responses into reliable risk assessments is hindered by generic cellular stress noise.
  • Methods: We developed Phenotype-Anchored Molecular Distillation (PAMD). By integrating functional/structural hiPSC-CM injury assays, we distilled a 110-gene signature and engineered a Split-GSVA strategy to computationally suppress background noise.
  • Results: The PAMD framework achieved robust cardiotoxicity discrimination (AUC = 0.857) and uncovered cryptic cardiotoxicity in numerous uncharacterized environmental chemicals. Mendelian randomization established significant causal associations between these signals and clinical outcomes like myocardial infarction and heart failure.
  • Conclusions: CardioRisk-DB provides a systematic resource for the environmental health community to prioritize and evaluate the cardiovascular risks of emerging chemical pollutants.