Mohammad Roghanian

This paper characterizes genome-environment interactions in Klebsiella pneumoniae using chemical genomics and machine learning to predict fitness across diverse conditions.

The paper tests if pathogen virulence affects antibiotic efficacy under controlled in vivo growth conditions and finds no such effect when growth rates are matched.

This study identifies nanobodies that modulate Rel and RelA enzyme activity by trapping them in specific conformational states, inhibiting (p)ppGpp synthesis and affecting bacterial virulence.

FlashFold predicts protein structures and stoichiometry faster than AlphaFold3 with minimal accuracy loss and supports custom sequence databases.

This study investigates the auto-regulation of E. coli RelA through intramolecular interactions, finding that dimerization is not the key regulatory mechanism.