Thomas J. Mansell

The paper develops a scoring system to identify effective anti-methanogenic compounds by analyzing their structural and metabolic properties.

This paper uses molecular simulations and a graph neural network to identify potential methanogenesis inhibitors and their biochemical properties.

This study uses metabolic modeling to design E. coli strains that overproduce glycan precursors for glycoprotein production.