Evidence map›Paper›PMID 35759512›Full record

ArticlePLoS computational biology2022

Covalent docking and molecular dynamics simulations reveal the specificity-shifting mutations Ala237Arg and Ala237Lys in TEM beta-lactamase.

Gabriel Monteiro da Silva, Jordan Yang, Bunlong Leang, Jessie Huang, Daniel M Weinreich, Brenda M Rubenstein

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 60% of its field
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

4 citing papers in PubMed, 4 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Gabriel Monteiro da SilvaDepartment of Molecular and Cell Biology, Brown University, Providence, Rhode Island, United States of America.ORCID 0000-0002-9665-7597
Jordan YangDepartment of Chemistry, Brown University, Providence, Rhode Island, United States of America.ORCID 0000-0001-8679-4347
Bunlong LeangDepartment of Health and Human Biology, Brown University, Providence, Rhode Island, United States of America.ORCID 0000-0001-6990-6888
Jessie HuangDepartment of Chemistry, Wellesley College, Wellesley, Massachusetts, United States of America.ORCID 0000-0003-2927-5203
Daniel M WeinreichDepartment of Ecology and Evolutionary Biology, Brown University, Providence, Rhode Island, United States of America.ORCID 0000-0003-1424-7541
Brenda M RubensteinDepartment of Chemistry, Brown University, Providence, Rhode Island, United States of America.ORCID 0000-0003-1643-0358
Brown University · USWellesley College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rate of modern drug discovery using experimental screening methods still lags behind the rate at which pathogens mutate, underscoring the need for fast and accurate predictive simulations of protein evolution. Multidrug-resistant bacteria evade our defenses by expressing a series of proteins, the most famous of which is the 29-kilodalton enzyme, TEM β-lactamase. Considering these challenges, we applied a covalent docking heuristic to measure the effects of all possible alanine 237 substitutions in TEM due to this codon's importance for catalysis and effects on the binding affinities of commercially-available β-lactam compounds. In addition to the usual mutations that reduce substrate binding due to steric hindrance, we identified two distinctive specificity-shifting TEM mutations, Ala237Arg and Ala237Lys, and their respective modes of action. Notably, we discovered and verified through minimum inhibitory concentration assays that, while these mutations and their bulkier side chains lead to steric clashes that curtail ampicillin binding, these same groups foster salt bridges with the negatively-charged side-chain of the cephalosporin cefixime, widely used in the clinic to treat multi-resistant bacterial infections. To measure the stability of these unexpected interactions, we used molecular dynamics simulations and found the binding modes to be stable despite the application of biasing forces. Finally, we found that both TEM mutants also bind strongly to other drugs containing negatively-charged R-groups, such as carumonam and ceftibuten. As with cefixime, this increased binding affinity stems from a salt bridge between the compounds' negative moieties and the positively-charged side chain of the arginine or lysine, suggesting a shared mechanism. In addition to reaffirming the power of using simulations as molecular microscopes, our results can guide the rational design of next-generation β-lactam antibiotics and bring the community closer to retaking the lead against the recurrent threat of multidrug-resistant pathogens.

Indexed as

beta-LactamasesMolecular Dynamics SimulationAnti-Bacterial Agentsbeta-Lactamase Inhibitorsbeta-LactamsCefiximeMutationAnti-Bacterial Agentsbeta-Lactamase Inhibitorsbeta-Lactamasesbeta-LactamsCefixime

Identifiers

PMID35759512
PMCPMC9269908
OpenAlexW4283591774

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LicenceCC BY
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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.