An Efficient Computational Assay for β-Lactam Antibiotic Breakdown by Class A β-Lactamases

Area of Science:

• Biochemistry
• Computational Chemistry
• Pharmacology

Background:

• Class A beta-lactamases confer resistance to beta-lactam antibiotics.
• Carbapenem antibiotics are crucial, making their degradation by beta-lactamases a significant clinical concern.
• Existing methods for evaluating beta-lactamase activity can be time-consuming and complex.

Purpose of the Study:

• To develop and validate an efficient computational protocol for predicting beta-lactamase activity against carbapenems.
• To reduce the computational cost and complexity of assessing beta-lactamase-mediated antibiotic resistance.
• To gain mechanistic insights into beta-lactam breakdown by these enzymes.

Main Methods:

• Utilized a Quantum Mechanics/Molecular Mechanics (QM/MM) molecular simulation approach.
• Developed an efficient protocol requiring less than 24 CPU hours per simulation.
• The method does not necessitate experimental data fitting or extensive parametrization.

Main Results:

• The QM/MM protocol accurately predicts the activity of Class A beta-lactamases against carbapenems.
• Achieved a computational time reduction exceeding 99% compared to traditional methods.
• The simulations provided detailed mechanistic information on the breakdown of beta-lactam antibiotics.

Conclusions:

• The developed computational assay is a rapid and accurate tool for evaluating beta-lactamase activity.
• This approach can significantly aid in the assessment of emerging beta-lactamase variants.
• The protocol holds promise for accelerating the development of novel antibiotics to combat resistance.