Evidence map›Paper›PMID 28989673›Full record

ArticleChemical science2017

Predicting allosteric mutants that increase activity of a major antibiotic resistance enzyme.

M J Latallo, G A Cortina, S Faham, R K Nakamoto, P M Kasson

Abstract read
In one paragraph

Article in Chemical science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
  2. Resistance to Allosteric Inhibitors.Journal of molecular biology · 2025
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Harnessing Conformational Plasticity to Generate Designer Enzymes.Journal of the American Chemical Society · 2020
    Review
  10. Structure-Based Analysis of Cryptic-Site Opening.Structure (London, England : 1993) · 2020
    Article
  11. Article
  12. Adaptive ensemble simulations of biomolecules.Current opinion in structural biology · 2018
    Review
  13. Review
  14. Conformational dynamics and enzyme evolution.Journal of the Royal Society, Interface · 2018
    Review
  15. Article
  16. Review
  17. 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

5 authors.

M J LatalloDepartment of Molecular Physiology , University of Virginia , Box 800886 , Charlottesville , VA 22908 , USA . Email: kasson@virginia.edu.
G A CortinaDepartment of Molecular Physiology , University of Virginia , Box 800886 , Charlottesville , VA 22908 , USA . Email: kasson@virginia.edu.
S FahamDepartment of Molecular Physiology , University of Virginia , Box 800886 , Charlottesville , VA 22908 , USA . Email: kasson@virginia.edu.
R K NakamotoDepartment of Molecular Physiology , University of Virginia , Box 800886 , Charlottesville , VA 22908 , USA . Email: kasson@virginia.edu.
P M KassonDepartment of Molecular Physiology , University of Virginia , Box 800886 , Charlottesville , VA 22908 , USA . Email: kasson@virginia.edu.ORCID 0000-0002-3111-8103

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007267 · NIGMS · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI GARCIA-BLANCO, MARIANO A. · 1985 to 2024
$13.4M
Identifying Determinants of Carbapenem Resistance in Beta-lactamasesF31GM113543 · NIGMS · UNIVERSITY OF VIRGINIA · PI CORTINA, GEORGE · 2017 to 2018
$72k
NIGMS NIH HHS F31 GM113543
6 · The paper itself

Abstract

The CTX-M family of beta lactamases mediate broad-spectrum antibiotic resistance and are present in the majority of drug-resistant Gram-negative bacterial infections worldwide. Allosteric mutations that increase catalytic rates of these drug resistance enzymes have been identified in clinical isolates but are challenging to predict prospectively. We have used molecular dynamics simulations to predict allosteric mutants increasing CTX-M9 drug resistance, experimentally testing top mutants using multiple antibiotics. Purified enzymes show an increase in catalytic rate and efficiency, while mutant crystal structures show no detectable changes from wild-type CTX-M9. We hypothesize that increased drug resistance results from changes in the conformational ensemble of an acyl intermediate in hydrolysis. Machine-learning analyses on the three top mutants identify changes to the binding-pocket conformational ensemble by which these allosteric mutations transmit their effect. These findings show how molecular simulation can predict how allosteric mutations alter active-site conformational equilibria to increase catalytic rates and thus resistance against common clinically used antibiotics.

Identifiers

PMID28989673
PMCPMC5628580

What OpenQuestion holds

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Registered trials

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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.