Robert A. Bonomo

This study explores how NDM-1 evolves under different therapeutic pressures to predict resistance to emerging β-lactam-based therapies.

This study investigates how {Omega}-loop mutations in PDC-3 β-lactamase affect its active site dynamics and catalytic activity through molecular simulations.

This study develops a mechanism-based pharmacokinetic/pharmacodynamic model to evaluate PMB-based combination therapy against CRKP, showing synergistic effects with lower PMB doses.

This study evolves Staphylococcus aureus under vancomycin selection, revealing two distinct adaptive pathways that lead to divergent collateral sensitivity patterns to first-line antibiotics.

This study identifies emerging resistance in KPC variants of K. pneumoniae to CZA, FDC, and FPZ, with mutations in specific regions linked to collateral resistance.

This study uses computational methods to analyze dynamic differences among Pen β-lactamases from Burkholderia spp., identifying critical mutations and functional hotspots.

This paper investigates how enmetazobactam and tazobactam inhibit GES-1, an ESBL, revealing structural and mechanistic differences in their acyl-enzyme complexes.

This paper identifies membrane-bound OXA beta-lactamases in Acinetobacter spp. and shows they are secreted into outer membrane vesicles, contributing to antimicrobial resistance.

This paper introduces DyNoPy, a method combining coevolution analysis and molecular dynamics to predict functionally important residues in proteins, demonstrating its application on beta-lactamases.

This study investigates the molecular mechanisms of cefiderocol resistance and antagonism with avibactam and sulbactam in carbapenem-resistant Acinetobacter strains.

This study develops non-β-lactam covalent allosteric inhibitors targeting PBP2a in MRSA, showing enhanced cell inhibition and antimicrobial activity against resistant strains.

This study shows that sulopenem combined with cefuroxime or durlobactam synergistically inhibits Mycobacterium abscessus, with BLIs enhancing antibacterial effects.

This paper uses deep learning to analyze the co-evolutionary dynamics of L2 β-lactamases and their functional mechanisms.

The paper shows that specific protein-membrane interactions enhance the export of metallo-β-lactamases into outer membrane vesicles in Gram-negative bacteria.