Evidence map›Paper›PMID 31181717›Full record

ArticleInternational journal of molecular sciences2019

Quantitative Structure-Activity Relationships for Structurally Diverse Chemotypes Having Anti-

Anacleto S de Souza, Leonardo L G Ferreira, Aldo S de Oliveira, Adriano D Andricopulo

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
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  7. 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

4 authors.

Anacleto S de SouzaLaboratory of Computational and Medicinal Chemistry, Center for Research and Innovation in Biodiversity and Drug Discovery, Physics Institute of Sao Carlos, University of Sao Paulo, Sao Carlos-SP 13563-120, Brazil. anacletosilvadesouza@usp.br.
Leonardo L G FerreiraLaboratory of Computational and Medicinal Chemistry, Center for Research and Innovation in Biodiversity and Drug Discovery, Physics Institute of Sao Carlos, University of Sao Paulo, Sao Carlos-SP 13563-120, Brazil. leonardo@ifsc.usp.br.
Aldo S de OliveiraLaboratory of Computational and Medicinal Chemistry, Center for Research and Innovation in Biodiversity and Drug Discovery, Physics Institute of Sao Carlos, University of Sao Paulo, Sao Carlos-SP 13563-120, Brazil. aldo.sena@ufsc.br.ORCID 0000-0001-7760-4484
Adriano D AndricopuloLaboratory of Computational and Medicinal Chemistry, Center for Research and Innovation in Biodiversity and Drug Discovery, Physics Institute of Sao Carlos, University of Sao Paulo, Sao Carlos-SP 13563-120, Brazil. aandrico@ifsc.usp.br.

Funding

Fundação de Amparo à Pesquisa do Estado de São Paulo 2013/07600-3
6 · The paper itself

Abstract

Small-molecule compounds that have promising activity against macromolecular targets from

Indexed as

Machine LearningQuantitative Structure-Activity RelationshipTrypanocidal AgentsTrypanosoma cruziTrypanocidal Agentsartificial neural networksChagas’ diseasemachine learningmolecular modelingQSAR

Identifiers

PMID31181717
PMCPMC6600563

What OpenQuestion holds

Textmetadata
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.