Evidence map›Paper›PMID 29348810›Full record

ArticleACS medicinal chemistry letters2018

Structure-Based Virtual Screening for the Discovery of Novel Inhibitors of New Delhi Metallo-β-lactamase-1.

Francesca Spyrakis, Giuseppe Celenza, Francesca Marcoccia, Matteo Santucci, Simon Cross, Pierangelo Bellio, Laura Cendron, Mariagrazia Perilli, Donatella Tondi

Abstract read
In one paragraph

Article in ACS medicinal chemistry letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Frontiers in bioinformatics · 2026
    Review
  2. Predictors of mortality and progression from colonization to Stenotrophomonas maltophilia bloodstream infection in hematologic disorders: a single-center retrospective study.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2025
    Article
  3. Review
  4. Approachable Synthetic Methodologies for Second-GenerationPharmaceuticals (Basel, Switzerland) · 2024
    Review
  5. Article
  6. Machine Learning Models Identify Inhibitors of New Delhi Metallo-β-lactamase.Journal of chemical information and modeling · 2024
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. 4-(Biomolecules · 2020
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. 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

9 authors.

Francesca SpyrakisDipartimento di Scienze della Vita, Università degli Studi di Modena e Reggio Emilia, Via Campi 103, 41100 Modena, Italy.
Giuseppe CelenzaDipartimento di Scienze cliniche applicate e biotecnologiche, Università dell'Aquila, Via Vetoio 1, 67100 L'Aquila, Italy.
Francesca MarcocciaDipartimento di Scienze cliniche applicate e biotecnologiche, Università dell'Aquila, Via Vetoio 1, 67100 L'Aquila, Italy.
Matteo SantucciDipartimento di Scienze della Vita, Università degli Studi di Modena e Reggio Emilia, Via Campi 103, 41100 Modena, Italy.
Simon CrossDipartimento di Chimica, Biologia e Biotechnologia, Università degli Studi di Perugia, Via Elce di Sotto 8, 06123 Perugia, Italy.
Pierangelo BellioDipartimento di Scienze cliniche applicate e biotecnologiche, Università dell'Aquila, Via Vetoio 1, 67100 L'Aquila, Italy.
Laura CendronDipartimento di Biologia, Università degli Studi di Padova, Viale G. Colombo 3, 35131 Padova, Italy.
Mariagrazia PerilliDipartimento di Scienze cliniche applicate e biotecnologiche, Università dell'Aquila, Via Vetoio 1, 67100 L'Aquila, Italy.
Donatella TondiDipartimento di Scienze della Vita, Università degli Studi di Modena e Reggio Emilia, Via Campi 103, 41100 Modena, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial resistance has become a worldwide concern after the emergence of metallo-β-lactamases (MBLs). They represent one of the major mechanisms of bacterial resistance against beta-lactam antibiotics. Among MBLs, New Delhi metallo-β-lactamase-1 NDM-1, the most prevalent type, is extremely efficient in inactivating nearly all-available antibiotics including last resort carbapenems. No inhibitors for NDM-1 are currently available in therapy, making the spread of NDM-1 producing bacterial strains a serious menace. With this perspective, we performed a structure-based

Identifiers

PMID29348810
PMCPMC5767890

What OpenQuestion holds

Textmetadata
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.