Deeper understanding of antibiotic-induced physiological responses is critical to identifying
means for enhancing our current antibiotic arsenal. Bactericidal antibiotics with diverse …

Bacteriostatic and bactericidal antibiotic treatments result in two fundamentally different
phenotypic outcomes—the inhibition of bacterial growth or, alternatively, cell death. Most …

Although metabolism plays an active role in antibiotic lethality, antibiotic resistance is generally
associated with drug target modification, enzymatic inactivation, and/or transport rather …

Metabolically dormant bacteria present a critical challenge to effective antimicrobial therapy
because these bacteria are genetically susceptible to antibiotic treatment but phenotypically …

Current machine learning techniques enable robust association of biological signals with
measured phenotypes, but these approaches are incapable of identifying causal relationships. …

Bactericidal antibiotics alter microbial metabolism as part of their lethality and can damage
mitochondria in mammalian cells. In addition, antibiotic susceptibility is sensitive to …

Growth rate and metabolic state of bacteria have been separately shown to affect antibiotic
efficacy 1 , 2 – 3 . However, the two are interrelated as bacterial growth inherently imposes a …

Understanding how specific cyclic AMP (cAMP) signals are organized and relayed to their
effectors in different compartments of the cell to achieve functional specificity requires …

Antimicrobial resistance (AMR) remains one of the most challenging phenomena of modern
medicine. Machine learning (ML) is a subfield of artificial intelligence that focuses on the …

Highlights • Antibiotic lethality involves processes downstream of primary target inhibition. •
Respiration and altered metabolism actively participate in antibiotic lethality. • Environmental …