Rudan Xu

C4TUNE predicts photosynthesis kinetic parameters from response curves, enabling efficient simulation and identification of limiting factors in maize genotypes.

KineticGP improves prediction of leaf photosynthesis traits in maize by integrating genomic data with kinetic models of C4 photosynthesis.

This study evaluates ML models for predicting maize traits using hyperspectral data across three seasons, revealing trait-specific generalizability limits and offering a robust framework for breeding applications.

The paper integrates proteomics and constraint-based modeling to estimate in vivo enzyme turnover numbers for Chlamydomonas reinhardtii, improving metabolic model predictions.