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Allosteric communication in class A ß-lactamases occurs via cooperative coupling of loop dynamics.
Galdadas, Ioannis; Qu, Shen; Oliveira, Ana Sofia F; Olehnovics, Edgar; Mack, Andrew R; Mojica, Maria F; Agarwal, Pratul K; Tooke, Catherine L; Gervasio, Francesco Luigi; Spencer, James; Bonomo, Robert A; Mulholland, Adrian J; Haider, Shozeb.
Afiliação
  • Galdadas I; University College London, Department of Chemistry, London, United Kingdom.
  • Qu S; University College London School of Pharmacy, Pharmaceutical and Biological Chemistry, London, United Kingdom.
  • Oliveira ASF; University of Bristol, Centre for Computational Chemistry, School of Chemistry, Bristol, United Kingdom.
  • Olehnovics E; University College London School of Pharmacy, Pharmaceutical and Biological Chemistry, London, United Kingdom.
  • Mack AR; Veterans Affairs Northeast Ohio Healthcare System, Research Service, Cleveland, United States.
  • Mojica MF; Case Western Reserve University, Department of Molecular Biology and Microbiology, Cleveland, United States.
  • Agarwal PK; Veterans Affairs Northeast Ohio Healthcare System, Research Service, Cleveland, United States.
  • Tooke CL; Case Western Reserve University, Department of Infectious Diseases, School of Medicine, Cleveland, United States.
  • Gervasio FL; Department of Physiological Sciences and High-Performance Computing Center, Oklahoma State University, Stillwater, United States.
  • Spencer J; University of Bristol, School of Cellular and Molecular Medicine, Bristol, United Kingdom.
  • Bonomo RA; University College London, Department of Chemistry, London, United Kingdom.
  • Mulholland AJ; University College London, Institute of Structural and Molecular Biology, London, United Kingdom.
  • Haider S; University of Geneva, Pharmaceutical Sciences, Geneva, Switzerland.
Elife ; 102021 03 23.
Article em En | MEDLINE | ID: mdl-33755013
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 ß-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.
Antibiotics are crucial drugs for treating and preventing bacterial infections, but some bacteria are evolving ways to resist their effects. This 'antibiotic resistance' threatens lives and livelihoods worldwide. ß-lactam antibiotics, like penicillin, are some of the most commonly used, but some bacteria can now make enzymes called ß-lactamases, which destroy these antibiotics. Dozens of different types of ß-lactamases now exist, each with different properties. Two of the most medically important are TEM-1 and KPC-2. One way to counteract ß-lactamases is with drugs called inhibitors that stop the activity of these enzymes. The approved ß-lactamase inhibitors work by blocking the part of the enzyme that binds and destroys antibiotics, known as the 'active site'. The ß-lactamases have evolved, some of which have the ability to resist the effects of known inhibitors. It is possible that targeting parts of ß-lactamases far from the active site, known as 'allosteric sites', might get around these new bacterial defences. A molecule that binds to an allosteric site might alter the enzyme's shape, or restrict its movement, making it unable to do its job. Galdadas, Qu et al. used simulations to understand how molecules binding at allosteric sites affect enzyme movement. The experiments examined the structures of both TEM-1 and KPC-2, looking at how their shapes changed as molecules were removed from the allosteric site. This revealed how the allosteric sites and the active site are linked together. When molecules were taken out of the allosteric sites, they triggered ripples of shape change that travelled via loop-like structures across the surface of the enzyme. These loops contain over half of the known differences between the different types of ß-lactamases, suggesting mutations here may be responsible for changing which antibiotics each enzyme can destroy. In other words, changes in the 'ripples' may be related to the ability of the enzymes to resist particular antibiotics. Understanding how changes in one part of a ß-lactamase enzyme reach the active site could help in the design of new inhibitors. It might also help to explain how ß-lactamases evolve new properties. Further work could show why different enzymes are more or less active against different antibiotics.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Beta-Lactamases / Farmacorresistência Bacteriana / Simulação de Dinâmica Molecular Idioma: En Revista: Elife Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Beta-Lactamases / Farmacorresistência Bacteriana / Simulação de Dinâmica Molecular Idioma: En Revista: Elife Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido