Allosteric communication in class A β-lactamases occurs via cooperative coupling of loop dynamics

Author:

Galdadas Ioannis1ORCID,Qu Shen2,Oliveira Ana Sofia F3,Olehnovics Edgar2,Mack Andrew R45ORCID,Mojica Maria F46,Agarwal Pratul K7,Tooke Catherine L8,Gervasio Francesco Luigi1910ORCID,Spencer James8,Bonomo Robert A4561112,Mulholland Adrian J3ORCID,Haider Shozeb2ORCID

Affiliation:

1. University College London, Department of Chemistry, London, United Kingdom

2. University College London School of Pharmacy, Pharmaceutical and Biological Chemistry, London, United Kingdom

3. University of Bristol, Centre for Computational Chemistry, School of Chemistry, Bristol, United Kingdom

4. Veterans Affairs Northeast Ohio Healthcare System, Research Service, Cleveland, United States

5. Case Western Reserve University, Department of Molecular Biology and Microbiology, Cleveland, United States

6. Case Western Reserve University, Department of Infectious Diseases, School of Medicine, Cleveland, United States

7. Department of Physiological Sciences and High-Performance Computing Center, Oklahoma State University, Stillwater, United States

8. University of Bristol, School of Cellular and Molecular Medicine, Bristol, United Kingdom

9. University College London, Institute of Structural and Molecular Biology, London, United Kingdom

10. University of Geneva, Pharmaceutical Sciences, Geneva, Switzerland

11. Case Western Reserve University, Department of Biochemistry, Cleveland, United States

12. Case Western Reserve University, Department of Pharmacology, Cleveland, United States

Abstract

Understanding allostery in enzymes and tools to identify it offer promising alternative strategies to inhibitor development. Through a combination of equilibrium and nonequilibrium molecular dynamics simulations, we identify allosteric effects and communication pathways in two prototypical class A β-lactamases, TEM-1 and KPC-2, which are important determinants of antibiotic resistance. The nonequilibrium simulations reveal pathways of communication operating over distances of 30 Å or more. Propagation of the signal occurs through cooperative coupling of loop dynamics. Notably, 50% or more of clinically relevant amino acid substitutions map onto the identified signal transduction pathways. This suggests that clinically important variation may affect, or be driven by, differences in allosteric behavior, providing a mechanism by which amino acid substitutions may affect the relationship between spectrum of activity, catalytic turnover, and potential allosteric behavior in this clinically important enzyme family. Simulations of the type presented here will help in identifying and analyzing such differences.

Funder

AstraZeneca

National Institute of General Medical Sciences

National Institutes of Health

Engineering and Physical Sciences Research Council

Biotechnology and Biological Sciences Research Council

Medical Research Council

National Institute of Allergy and Infectious Diseases

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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