Samer Saleh

The paper uses machine learning to guide cell-free expression of carbonic anhydrases, identifying variants with improved stability under high temperatures.

This paper introduces a carbon cofeeding strategy to overcome stoichiometric limitations in redox-balance growth coupling, enabling growth-coupled selection for biosynthetic pathways in engineered E. coli.

The paper identifies a conserved sequence motif that enables natural enzymes to use non-canonical redox cofactors, demonstrating high activity with NMN+ and other synthetic cofactors.

This paper demonstrates an activation-free method to convert carboxylic acids to aldehydes and alcohols using aldehyde dehydrogenases, achieving high yields and carbon efficiency.