Jin Hua Xu

The paper curates 50 BioModels by reproducing results with Tellurium and creating OMEX files for reproducibility.

The paper uses deep learning to identify tumor-targeting ligands from DNA-encoded chemical libraries against CAIX, finding 70% of novel hits show submicromolar activity.

The paper introduces SBMLKinetics, a tool that classifies reaction kinetics in SBML models without relying on annotations, identifying common kinetic types and reaction types across models.

The paper develops a method to generate synthetic signaling networks that mimic real biological networks in topology and dynamics, enabling testing of network inference algorithms.