Evidence map›Paper›PMID 33172012›Full record

ArticleBiomolecules2020

Fragment Library of Natural Products and Compound Databases for Drug Discovery.

Ana L Chávez-Hernández, Norberto Sánchez-Cruz, José L Medina-Franco

Abstract read
In one paragraph

Article in Biomolecules, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Chemical Multiverse and Diversity of Food Chemicals.Journal of chemical information and modeling · 2024
    Article
  6. Review
  7. Review
  8. Review
  9. AnArtificial intelligence in the life sciences · 2021
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. 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

3 authors.

Ana L Chávez-HernándezDIFACQUIM Research Group, Department of Pharmacy, School of Chemistry, Universidad Nacional Autónoma de México, Avenida Universidad 3000, Mexico City 04510, Mexico.
Norberto Sánchez-CruzDIFACQUIM Research Group, Department of Pharmacy, School of Chemistry, Universidad Nacional Autónoma de México, Avenida Universidad 3000, Mexico City 04510, Mexico.ORCID 0000-0003-2707-3966
José L Medina-FrancoDIFACQUIM Research Group, Department of Pharmacy, School of Chemistry, Universidad Nacional Autónoma de México, Avenida Universidad 3000, Mexico City 04510, Mexico.ORCID 0000-0003-4940-1107

Funding

Dirección General de Cómputo y de Tecnologías de Información y Comunicación (DGTIC), UNAM LANCAD-UNAM-DGTIC-335
6 · The paper itself

Abstract

Natural products and semi-synthetic compounds continue to be a significant source of drug candidates for a broad range of diseases, including coronavirus disease 2019 (COVID-19), which is causing the current pandemic. Besides being attractive sources of bioactive compounds for further development or optimization, natural products are excellent substrates of unique substructures for fragment-based drug discovery. To this end, fragment libraries should be incorporated into automated drug design pipelines. However, public fragment libraries based on extensive collections of natural products are still limited. Herein, we report the generation and analysis of a fragment library of natural products derived from a database with more than 400,000 compounds. We also report fragment libraries of a large food chemical database and other compound datasets of interest in drug discovery, including compound libraries relevant for COVID-19 drug discovery. The fragment libraries were characterized in terms of content and diversity.

Indexed as

Drug DiscoveryAlgorithmsBetacoronavirusBiological ProductsCoronavirus InfectionsCOVID-19Databases, ChemicalHumansPandemicsPneumonia, ViralSARS-CoV-2Small Molecule LibrariesBiological ProductsSmall Molecule LibrarieschemoinformaticsCOVID-19drug designdrug discoveryfingerprintfood chemicalsnatural products fragmentsSARS-CoV-2

Identifiers

PMID33172012
PMCPMC7694623

What OpenQuestion holds

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LicenceCC BY
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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.