Woosub Shin

AMAS predicts annotations for SBML model elements using reference databases and similarity scores, achieving 80-95% accuracy for species and reactions.

The paper integrates multi-omics data from CAKUT patients to identify collagen's role in disease development and provides containerized workflows for analysis.

SBMate evaluates annotation quality in systems biology models using coverage, consistency, and specificity metrics on 1,000 BioModels repository models.

The paper introduces two new methods for detecting and isolating mass balance errors in reaction-based models, improving error isolation compared to existing approaches.