Evolutionary Dynamics and Functional Differences in Clinically Relevant Pen β-Lactamases from spp.

Journal: Journal of chemical information and modeling
Published Date:

Abstract

Antimicrobial resistance (AMR) is a global threat, with species contributing significantly to difficult-to-treat infections. The Pen family of β-lactamases are produced by all spp., and their mutation or overproduction leads to the resistance of β-lactam antibiotics. Here we investigate the dynamic differences among four Pen β-lactamases (PenA, PenI, PenL and PenP) using machine learning driven enhanced sampling molecular dynamics simulations, Markov State Models (MSMs), convolutional variational autoencoder-based deep learning (CVAE) and the BindSiteS-CNN model. In spite of sharing the same catalytic mechanisms, these enzymes exhibit distinct dynamic features due to low sequence identity, resulting in different substrate profiles and catalytic turnover. The BindSiteS-CNN model further reveals local active site dynamics, offering insights into the Pen β-lactamase evolutionary adaptation. Our findings reported here identify critical mutations and propose new hot spots affecting Pen β-lactamase flexibility and function, which can be used to fight emerging resistance in these enzymes.

Authors

  • Jing Gu
    Department of Epidemiology and Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.
  • Pratul K Agarwal
    High-Performance Computing Center, Oklahoma State University, Stillwater, Oklahoma 74078-1010, United States.
  • Robert A Bonomo
    Louis Stokes Cleveland Department of Veterans Affairs Medical Center.
  • Shozeb Haider
    Department of Pharmaceutical and Biological Chemistry, University College London School of Pharmacy, WC1N 1AX London, United Kingdom; maria.new@mssm.edu shozeb.haider@ucl.ac.uk mone.zaidi@mssm.edu.