Teeraphan Laomettachit

The paper develops a stochastic Boolean model of apoptosis signaling in MCF7:5C cells to predict cell death inducers and inhibitors, identifying genetic and drug-target combinations that affect apoptosis pathways.

The paper develops a stochastic Boolean model of the budding yeast cell cycle that accurately replicates wild-type and mutant phenotypes, providing a validated framework for studying cell cycle regulation.

PhotoModPlus predicts photosynthetic proteins using genome neighborhood networks and a machine learning model, achieving an F1 score of 0.872.

The paper develops a machine learning method using genome neighborhood features to classify photosynthetic proteins, achieving 94% accuracy and outperforming existing tools.