Evidence map›Paper›PMID 33755013›Full record

ArticleeLife2021

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

Ioannis Galdadas, Shen Qu, Ana Sofia F Oliveira, Edgar Olehnovics, Andrew R Mack, Maria F Mojica, Pratul K Agarwal, Catherine L Tooke, Francesco Luigi Gervasio, James Spencer and 3 more

Abstract read
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

46 citing papers in PubMed.

  1. Article
  2. Directional information flow as a tool for analyzing protein allostery.bioRxiv : the preprint server for biology · 2026
    Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Novel C5α-substituted carbapenems enhanceAntimicrobial agents and chemotherapy · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Deciphering the Coevolutionary Dynamics of L2 β-Lactamases via Deep Learning.Journal of chemical information and modeling · 2024
    Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Ioannis Galdadas *University College London, Department of Chemistry, London, United Kingdom.ORCID 0000-0003-2136-9723
Shen Qu *University College London School of Pharmacy, Pharmaceutical and Biological Chemistry, London, United Kingdom.
Ana Sofia F OliveiraUniversity of Bristol, Centre for Computational Chemistry, School of Chemistry, Bristol, United Kingdom.
Edgar OlehnovicsUniversity College London School of Pharmacy, Pharmaceutical and Biological Chemistry, London, United Kingdom.
Andrew R MackVeterans Affairs Northeast Ohio Healthcare System, Research Service, Cleveland, United States.ORCID 0000-0002-0131-7996
Maria F MojicaVeterans Affairs Northeast Ohio Healthcare System, Research Service, Cleveland, United States.
Pratul K AgarwalDepartment of Physiological Sciences and High-Performance Computing Center, Oklahoma State University, Stillwater, United States.
Catherine L TookeUniversity of Bristol, School of Cellular and Molecular Medicine, Bristol, United Kingdom.
Francesco Luigi GervasioUniversity College London, Department of Chemistry, London, United Kingdom.ORCID 0000-0003-4831-5039
James SpencerUniversity of Bristol, School of Cellular and Molecular Medicine, Bristol, United Kingdom.
Robert A BonomoVeterans Affairs Northeast Ohio Healthcare System, Research Service, Cleveland, United States.
Adrian J MulhollandUniversity of Bristol, Centre for Computational Chemistry, School of Chemistry, Bristol, United Kingdom.ORCID 0000-0003-1015-4567
Shozeb HaiderUniversity College London School of Pharmacy, Pharmaceutical and Biological Chemistry, London, United Kingdom.ORCID 0000-0003-2650-2925

Funding

Understanding B-Lactam Resistance in Acinetobacter baumanniiR01AI072219 · NIAID · CASE WESTERN RESERVE UNIVERSITY · PI ROBERT A. BONOMO, Philip N. Rather · 2007 to 2026
$6.6M
Understanding ceftazidime resistance in SHV B-LactamasesR01AI063517 · NIAID · CASE WESTERN RESERVE UNIVERSITY · PI BONOMO, ROBERT A. · 2005 to 2023
$4.9M
A Mechanism-Based Approach to Metallo-beta-Lactamase InhibitionR01AI100560 · NIAID · CASE WESTERN RESERVE UNIVERSITY · PI BONOMO, ROBERT A., SPENCER, JAMES · 2012 to 2022
$4.4M
Conformational sub-states in enzyme catalysis: Applications to ribonucleaseR01GM105978 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI AGARWAL, PRATUL K, CHENNUBHOTLA, SRINIVAS CHAKRA · 2014 to 2018
$2.8M
The Continuing Challenge of Carbapenemases in K. pneumoniae: KPC-2 & NDM-1I01BX001974 · VA · LOUIS STOKES CLEVELAND VA MEDICAL CENTER · PI BONOMO, ROBERT A. · 2013 to 2024
–
Biotechnology and Biological Sciences Research Council BB/L01386X/1BLRD VA I01 BX001974Medical Research Council MR/T016035/1NIAID NIH HHS R01 AI063517NIAID NIH HHS R01 AI072219NIAID NIH HHS R01 AI100560NIGMS NIH HHS R01 GM105978
6 · The paper itself

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.

Indexed as

Drug Resistance, BacterialMolecular Dynamics SimulationAmino Acid Substitutionbeta-LactamasesProtein Conformationbeta-LactamasesKPC-2medicinemolecular biophysicsstructural biologyTEM-1β-lactamase

Identifiers

PMID33755013
PMCPMC8060031

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.