Evidence map›Paper›PMID 30597893›Full record

ArticleMarine drugs2018

A Computer-Driven Approach to Discover Natural Product Leads for Methicillin-Resistant

Tiago Dias, Susana P Gaudêncio, Florbela Pereira

Abstract read
In one paragraph

Article in Marine drugs, 2018. 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
–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

15 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. PubChem 2023 update.Nucleic acids research · 2023
    Article
  9. Review
  10. Article
  11. Machine Learning in Antibacterial Drug Design.Frontiers in pharmacology · 2022
    Review
  12. Article
  13. Review
  14. Article
  15. 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

3 authors.

Tiago DiasUCIBIO-REQUIMTE, Department of Chemistry and Department of Life Sciences, Faculty of Science and Technology, Universidade NOVA de Lisboa, 2829-516 Caparica, Portugal. tiagocalretas@gmail.com.
Susana P GaudêncioUCIBIO-REQUIMTE, Department of Chemistry and Department of Life Sciences, Faculty of Science and Technology, Universidade NOVA de Lisboa, 2829-516 Caparica, Portugal. s.gaudencio@fct.unl.pt.
Florbela PereiraLAQV-REQUIMTE, Department of Chemistry, Faculty of Science and Technology, Universidade NOVA de Lisboa, 2829-516 Caparica, Portugal. florbela.pereira@fct.unl.pt.ORCID 0000-0003-4392-4644

Funding

European Regional Development Fund POCI-01-0145-FEDER-007265European Regional Development Fund POCI-010145-FEDER-007728FCT/MEC Portugal UID/Multi/04378/2013FCT/MEC Portugal UID/QUI/50006/2013Fundação para a Ciência e Tecnologia (FCT) Portugal IF/00700/2014Fundação para a Ciência e Tecnologia (FCT) Portugal PTDC/QUIQUI/119116/2010Fundação para a Ciência e Tecnologia (FCT) Portugal RECI/BBB-BQB/0230/2012Fundação para a Ciência e Tecnologia (FCT) Portugal SFRH/BPD/108237/2015
6 · The paper itself

Abstract

The risk of methicillin-resistant

Indexed as

Anti-Bacterial AgentsBiological ProductsDrug DiscoveryHumansLigandsMethicillin-Resistant Staphylococcus aureusMicrobial Sensitivity TestsQuantitative Structure-Activity RelationshipStaphylococcal InfectionsAnti-Bacterial AgentsBiological ProductsLigandsantibacterial activitydrug discoverymachine learning (ML) techniquesmarine-derived actinobacteriamarine natural products (MNPs)methicillin-resistant Staphylococcus aureus (MRSA)molecular descriptorsNMR descriptorsquantitative structure–activity relationship (QSAR)

Identifiers

PMID30597893
PMCPMC6356832

What OpenQuestion holds

Textmetadata
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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.