Evidence map›Paper›PMID 33449932›Full record

ArticlePloS one2021

Discovery of beta-lactamase CMY-10 inhibitors for combination therapy against multi-drug resistant Enterobacteriaceae.

Nousheen Parvaiz, Faisal Ahmad, Wenbo Yu, Alexander D MacKerell, Syed Sikander Azam

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

15 citing papers in PubMed, 35 citations in OpenAlex.

  1. Review
  2. Review
  3. CombattingAntibiotics (Basel, Switzerland) · 2025
    Review
  4. Microbial Epidemiology and Antimicrobial Resistance of Bloodstream Infections in Hospitalized Patients During 2019-2023 in Xiangyang, China.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2025
    Article
  5. Article
  6. Review
  7. Recent Applications of Artificial Intelligence in Discovery of New Antibacterial Agents.Advances and applications in bioinformatics and chemistry : AABC · 2024
    Review
  8. Article
  9. Computer-Aided Drug Design: An Update.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  10. Review
  11. Article
  12. Review
  13. BioMed research international · 2022
    Article
  14. Artificial Intelligence and Antibiotic Discovery.Antibiotics (Basel, Switzerland) · 2021
    Review
  15. 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

5 authors at 2 institutions in 2 countries.

Nousheen ParvaizComputational Biology Lab, National Center for Bioinformatics, Quaid-i-Azam University, Islamabad, Pakistan.
Faisal AhmadComputational Biology Lab, National Center for Bioinformatics, Quaid-i-Azam University, Islamabad, Pakistan.
Wenbo YuUniversity of Maryland Computer-Aided Drug Design Center, Department of Pharmaceutical Sciences, School of Pharmacy, University of Maryland, Baltimore, MD, United States of America.
Alexander D MacKerellUniversity of Maryland Computer-Aided Drug Design Center, Department of Pharmaceutical Sciences, School of Pharmacy, University of Maryland, Baltimore, MD, United States of America.ORCID 0000-0001-8287-6804
Syed Sikander AzamComputational Biology Lab, National Center for Bioinformatics, Quaid-i-Azam University, Islamabad, Pakistan.ORCID 0000-0001-5624-6120
Quaid-i-Azam University · PKUniversity of Maryland, Baltimore · US

Funding

Macromolecular Conformational HeterogeneityR35GM131710 · NIGMS · UNIVERSITY OF MARYLAND BALTIMORE · PI ALEXANDER D MACKERELL · 2019 to 2026
$6.2M
NIGMS NIH HHS R35 GM131710
6 · The paper itself

Abstract

β-lactam antibiotics are the most widely used antimicrobial agents since the discovery of benzylpenicillin in the 1920s. Unfortunately, these life-saving antibiotics are vulnerable to inactivation by continuously evolving β-lactamase enzymes that are primary resistance determinants in multi-drug resistant pathogens. The current study exploits the strategy of combination therapeutics and aims at identifying novel β-lactamase inhibitors that can inactivate the β-lactamase enzyme of the pathogen while allowing the β-lactam antibiotic to act against its penicillin-binding protein target. Inhibitor discovery applied the Site-Identification by Ligand Competitive Saturation (SILCS) technology to map the functional group requirements of the β-lactamase CMY-10 and generate pharmacophore models of active site. SILCS-MC, Ligand-grid Free Energy (LGFE) analysis and Machine-learning based random-forest (RF) scoring methods were then used to screen and filter a library of 700,000 compounds. From the computational screens 74 compounds were subjected to experimental validation in which β-lactamase activity assay, in vitro susceptibility testing, and Scanning Electron Microscope (SEM) analysis were conducted to explore their antibacterial potential. Eleven compounds were identified as enhancers while 7 compounds were recognized as inhibitors of CMY-10. Of these, compound 11 showed promising activity in β-lactamase activity assay, in vitro susceptibility testing against ATCC strains (E. coli, E. cloacae, E. agglomerans, E. alvei) and MDR clinical isolates (E. cloacae, E. alvei and E. agglomerans), with synergistic assay indicating its potential as a β-lactam enhancer and β-lactamase inhibitor. Structural similarity search against the active compound 11 yielded 28 more compounds. The majority of these compounds also exhibited β-lactamase inhibition potential and antibacterial activity. The non-β-lactam-based β-lactamase inhibitors identified in the current study have the potential to be used in combination therapy with lactam-based antibiotics against MDR clinical isolates that have been found resistant against last-line antibiotics.

Indexed as

beta-Lactamase Inhibitorsbeta-LactamasesBinding SitesDrug DiscoveryDrug Evaluation, PreclinicalDrug Resistance, Multiple, BacterialDrug Therapy, CombinationEnterobacteriaceae InfectionsHumansMachine LearningMicrobial Sensitivity TestsMicroscopy, Electron, Scanningbeta-Lactamase Inhibitorsbeta-LactamasesCMY-10 beta-lactamase

Identifiers

PMID33449932
PMCPMC7810305
OpenAlexW3122785142

What OpenQuestion holds

Textmetadata
LicenceCC0
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.