Evidence map›Paper›PMID 35528563›Full record

ArticleRSC advances2019

Exploring the chemical space and the bioactivity profile of lactams: a chemoinformatic study.

Fernanda I Saldívar-González, Elena Lenci, Andrea Trabocchi, José L Medina-Franco

Abstract read
In one paragraph

Article in RSC advances, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
  2. Lactam Framework Editing via Formal Methylene Deletion.Journal of the American Chemical Society · 2026
    Article
  3. Article
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  7. Hydrogen Atom Transfer-Based C(spThe Journal of organic chemistry · 2025
    Article
  8. Leveraging molecular graphs for natural product classification.Computational and structural biotechnology journal · 2025
    Article
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  10. Article
  11. Article
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  13. Article
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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

4 authors.

Fernanda I Saldívar-GonzálezSchool of Chemistry, Department of Pharmacy, Universidad Nacional Autónoma de México Avenida Universidad 3000 Mexico City 04510 Mexico jose.medina.franco@gmail.com.ORCID https://orcid.org/0000-0002-0435-8662
Elena LenciDepartment of Chemistry "Ugo Schiff", University of Florence Via della Lastruccia 13 50019 Sesto Fiorentino Italy andrea.trabocchi@unifi.it.ORCID https://orcid.org/0000-0001-7408-2828
Andrea TrabocchiDepartment of Chemistry "Ugo Schiff", University of Florence Via della Lastruccia 13 50019 Sesto Fiorentino Italy andrea.trabocchi@unifi.it.ORCID https://orcid.org/0000-0003-1774-9301
José L Medina-FrancoSchool of Chemistry, Department of Pharmacy, Universidad Nacional Autónoma de México Avenida Universidad 3000 Mexico City 04510 Mexico jose.medina.franco@gmail.com.ORCID https://orcid.org/0000-0003-4940-1107

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lactams are a class of compounds important for drug design, due to their great variety of potential therapeutic applications, spanning cancer, diabetes, and infectious diseases. So far, the biological profile and chemical diversity of lactams have not been characterized in a systematic and detailed manner. In this work, we report the chemoinformatic analysis of beta-, gamma-, delta- and epsilon-lactams present in databases of approved drugs, natural products, and bioactive compounds from the large public database ChEMBL. We identified the main biological targets in which the lactams have been evaluated according to their chemical classification. We also identified the most frequent scaffolds and those that can be prioritized in chemical synthesis, since they are scaffolds with potential biological activity but with few reported analogs. Results of the biological and chemoinformatic analysis of lactams indicate that spiro- and bridged-lactams belong to classes with the lowest number of compounds and unique scaffolds, and some showing activity against specific targets. Information obtained from this analysis allows focusing the design of new chemical structures in less explored spaces and with increased possibilities of success.

Identifiers

PMID35528563
PMCPMC9070607

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Registered trials

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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.