Anticipating antimicrobial resistance: predicting the resistance-spectrum of emerging lactamase variants using atomistic simulation and experiment

Lead Research Organisation: University of Bristol
Department Name: Biochemistry

Abstract

Rising antibiotic resistance is a major problem for human health. Resistance to lactams, the single most important antibiotic class, usually arises through their breakdown by lactamases (BLs). Many BL producing bacteria are multi-drug resistant and may cause untreatable infections. Worryingly, new BL variants conferring resistance are detected frequently. As bacteria usually harbour multiple BLs, it is often not clear which BLs cause resistance against which lactam antibiotics, and, importantly, how. Using multi-scale computer simulations, we have previously calculated the efficiency of lactam acyl-enzyme formation and breakdown for a number of known BLs, thereby predicting whether and how they confer resistance to specific lactams. Genomic analysis of clinical isolates as well as lab experiments can identify new BL variants and thereby provide insights into the evolution of BLs with enhanced antibiotic breakdown activity.

In this atomistic simulation-led multidisciplinary project, the main aim will be to understand increased activity of newly arising BLs against key lactam antibiotics (e.g. cephalosporins, carbapenems), and then predict potential new variants. Computational assays based on multi-scale simulations will be used to assess formation and breakdown of the acyl-enzymes of 1) recently discovered, clinically relevant serine BLs; and 2) serine BLs with increased resistance obtained in the lab (e.g. by our international collaborators). This is challenging, as exact structures of these variants (in complex with antibiotics) are often not available and different reaction mechanisms will need to be explored. Notably, we will use the insights gained and protocols developed to predict new putative resistance-conferring BL variants from computational screening of mutations at key positions. Computational predictions of antibiotic breakdown by selected BLs and variants will then be validated by experimental determination of lactam hydrolysis.

Publications

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Studentship Projects

Project Reference Relationship Related To Start End Student Name
MR/W006308/1 01/10/2022 30/09/2028
2767481 Studentship MR/W006308/1 01/10/2022 30/09/2026 Daojiong Wang