Vetle Simensen

The paper aligns metal-binding sites across proteins to construct a network revealing coordination chemistry patterns and drug off-target interactions.

Standard-GEM provides a template for reproducible genome-scale metabolic model development following FAIR principles and software best practices.

The paper extends an enzyme-constrained GEM framework to include amino acid usage in yeast, showing how metabolic proteome demands affect amino acid availability and metabolic robustness.

The paper develops a pipeline for experimental biomass quantification in E. coli, improving coverage and resolution, and evaluates its impact on metabolic model predictions.

This paper reconstructs a high-quality genome-scale metabolic model for Aurantiochytrium sp. T66, improving upon previous models and validating its accuracy with experimental data.