Evidence map›Paper›PMID 30286754›Full record

ArticleBMC structural biology2018

Computational analysis of the interactions of a novel cephalosporin derivative with β-lactamases.

Anna Verdino, Felicia Zollo, Margherita De Rosa, Annunziata Soriente, Miguel Ángel Hernández-Martínez, Anna Marabotti

Abstract read
In one paragraph

Article in BMC structural biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Anna VerdinoDepartment of Chemistry and Biology "A. Zambelli", University of Salerno, Via Giovanni Paolo II, 132, 84084, Fisciano, SA, Italy.
Felicia ZolloDepartment of Chemistry and Biology "A. Zambelli", University of Salerno, Via Giovanni Paolo II, 132, 84084, Fisciano, SA, Italy.
Margherita De RosaDepartment of Chemistry and Biology "A. Zambelli", University of Salerno, Via Giovanni Paolo II, 132, 84084, Fisciano, SA, Italy.
Annunziata SorienteDepartment of Chemistry and Biology "A. Zambelli", University of Salerno, Via Giovanni Paolo II, 132, 84084, Fisciano, SA, Italy.
Miguel Ángel Hernández-MartínezUniversity of Rennes 1, Campus de Beaulieu, 35042 Rennes CEDEX, Rennes, France.
Anna MarabottiDepartment of Chemistry and Biology "A. Zambelli", University of Salerno, Via Giovanni Paolo II, 132, 84084, Fisciano, SA, Italy. amarabotti@unisa.it.ORCID 0000-0002-9510-5205

Funding

Università degli Studi di Salerno FARB-ORSA159092Università degli Studi di Salerno FARB-ORSA161582Università degli Studi di Salerno FARB-ORSA170308
6 · The paper itself

Abstract

backgroundOne of the main concerns of the modern medicine is the frightening spread of antimicrobial resistance caused mainly by the misuse of antibiotics. The researchers worldwide are actively involved in the search for new classes of antibiotics, and for the modification of known molecules in order to face this threatening problem. We have applied a computational approach to predict the interactions between a new cephalosporin derivative containing an additional β-lactam ring with different substituents, and several serine β-lactamases representative of the different classes of this family of enzymes.

resultsThe results of the simulations, performed by using a covalent docking approach, has shown that this compound, although able to bind the selected β-lactamases, has a different predicted binding score for the two β-lactam rings, suggesting that one of them could be more resistant to the attack of these enzymes and stay available to perform its bactericidal activity.

conclusionsThe detailed analysis of the complexes obtained by these simulations suggests possible hints to modulate the affinity of this compound towards these enzymes, in order to develop new derivatives with improved features to escape to degradation.

Indexed as

Molecular Docking Simulationbeta-LactamasesCatalytic DomainCephalosporinsProtein Binding7-aminocephalosporanic acidbeta-Lactamasesbeta-lactamase TEM-1CephalosporinsAntibioticsAntimicrobial resistanceBeta lactamasesCephalosporinsDocking

Identifiers

PMID30286754
PMCPMC6389238

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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.