Evidence map›Paper›PMID 30466711›Full record

ReviewDrug resistance updates : reviews and commentaries in antimicrobial and anticancer chemotherapy2018

A close look onto structural models and primary ligands of metallo-β-lactamases.

Joanna E Raczynska, Ivan G Shabalin, Wladek Minor, Alexander Wlodawer, Mariusz Jaskolski

Open access · greenAbstract readReview
In one paragraph

Review in Drug resistance updates : reviews and commentaries in antimicrobial and anticancer chemotherapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

38 citing papers in PubMed, 57 citations in OpenAlex.

  1. Article
  2. Review
  3. Functional dynamics of water in New Delhi metallo-β-lactamase catalysis.Protein science : a publication of the Protein Society · 2026
    Article
  4. Article
  5. Article
  6. Duplicate entries in the Protein Data Bank: how to detect and handle them.Acta crystallographica. Section D, Structural biology · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Towards a dependable data set of structures for L-asparaginase research.Acta crystallographica. Section D, Structural biology · 2024
    Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. NDM-beta-lactamase-1: Where do we stand?The Indian journal of medical research · 2022
    Review
  17. Article
  18. Optimal structure determination from sub-optimal diffraction data.Protein science : a publication of the Protein Society · 2022
    Article
  19. Article
  20. 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 3 institutions in 2 countries.

Joanna E RaczynskaCenter for Biocrystallographic Research, Institute of Bioorganic Chemistry, Polish Academy of Sciences, Poznan, Poland.
Ivan G ShabalinDepartment of Molecular Physiology and Biological Physics, University of Virginia, Charlottesville, VA 22908, USA; Center for Structural Genomics of Infectious Diseases, Charlottesville, VA 22908, USA.
Wladek MinorDepartment of Molecular Physiology and Biological Physics, University of Virginia, Charlottesville, VA 22908, USA; Center for Structural Genomics of Infectious Diseases, Charlottesville, VA 22908, USA.
Alexander WlodawerProtein Structure Section, Macromolecular Crystallography Laboratory, National Cancer Institute, Frederick, MD 21702, USA.
Mariusz JaskolskiCenter for Biocrystallographic Research, Institute of Bioorganic Chemistry, Polish Academy of Sciences, Poznan, Poland; Department of Crystallography, Faculty of Chemistry, A. Mickiewicz University, Poznan, Poland. Electronic address: mariuszj@amu.edu.pl.
Institute of Bioorganic Chemistry, Polish Academy of Sciences · PLUniversity of Virginia · USNational Cancer Institute · US

Funding

Protein StructureZIABC010348 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI WLODAWER, ALEXANDER · 2009 to 2025
$27.5M
Integrated resource for reproducibility in macromolecular crystallographyU01HG008424 · NHGRI · UNIVERSITY OF VIRGINIA · PI MINOR, WLADEK · 2015 to 2017
$1.5M
Metal binding sites in macromolecular structuresR01GM117325 · NIGMS · UNIVERSITY OF VIRGINIA · PI MINOR, WLADEK · 2016 to 2019
$1.3M
Intramural NIH HHS ZIA BC010348NHGRI NIH HHS U01 HG008424NIGMS NIH HHS R01 GM117325
6 · The paper itself

Abstract

β-Lactamases are hydrolytic enzymes capable of opening the β-lactam ring of antibiotics such as penicillin, thus endowing the bacteria that produce them with antibiotic resistance. Of particular medical concern are metallo-β-lactamases (MBLs), with an active site built around coordinated Zn cations. MBLs are pan-reactive enzymes that can break down almost all classes of β-lactams, including such last-resort antibiotics as carbapenems. They are not only broad-spectrum-reactive but are often plasmid-borne (e.g., the New Delhi enzyme, NDM), and can spread horizontally even among unrelated bacteria. Acquired MBLs are encoded by mobile genetic elements, which often include other resistance genes, making the microbiological situation particularly alarming. There is an urgent need to develop MBL inhibitors in order to rescue our antibiotic armory. A number of such efforts have been undertaken, most notably using the 3D structures of various MBLs as drug-design targets. Structure-guided drug discovery depends on the quality of the structures that are collected in the Protein Data Bank (PDB) and on the consistency of the information in dedicated β-lactamase databases. We conducted a careful review of the crystal structures of class B β-lactamases, concluding that the quality of these structures varies widely, especially in the regions where small molecules interact with the macromolecules. In a number of examples the interpretation of the bound ligands (e.g., inhibitors, substrate/product analogs) is doubtful or even incorrect, and it appears that in some cases the modeling of ligands was not supported by electron density. For ten MBL structures, alternative interpretations of the original diffraction data could be proposed and the new models have been deposited in the PDB. In four cases, these models, prepared jointly with the authors of the original depositions, superseded the previous deposits. This review emphasizes the importance of critical assessment of structural models describing key drug design targets at the level of the raw experimental data. Since the structures reviewed here are the basis for ongoing design of new MBL inhibitors, it is important to identify and correct the problems with ambiguous crystallographic interpretations, thus enhancing reproducibility in this highly medically relevant area.

Indexed as

Models, Structuralbeta-Lactamase Inhibitorsbeta-Lactamasesbeta-LactamsBiomedical ResearchCrystallography, X-RayLigandsModels, MolecularMolecular StructureProtein ConformationSubstrate Specificitybeta-Lactamase Inhibitorsbeta-lactamase NDM-1beta-Lactamasesbeta-LactamsLigandsAntibiotic resistanceData miningDrug design targetMetal coordinationMetallo-β-LactamaseModel validationNew Delhi metallo-β-lactamase (NDM)Protein Data Bank (PDB)ReproducibilityStructural databasesStructure re-deposition

Identifiers

PMID30466711
PMCPMC6260963
OpenAlexW2888306772

What OpenQuestion holds

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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.