Sayed‐Amir Marashi

This study uses genome-scale metabolic network analysis of neuronal development to identify metabolic dysfunctions and potential drug targets in autism spectrum disorders.

The paper uses computational modeling to simulate the evolutionary transition from C3 to C4 photosynthesis in Arabidopsis thaliana under high photorespiration conditions and different environmental scenarios.

The paper updates a genome-scale metabolic model of CHO cells by adding new reactions and genes through gap-filling approaches, improving its predictive power.

This study uses a genome-scale metabolic network model to design feeding strategies for CHO cells, resulting in a two-fold increase in monoclonal antibody production.

The paper introduces a fast and simple method to identify and analyze extreme points in metabolic phenotypic phase planes, enabling the discovery of hidden metabolic potentials and reaction couplings.