Evidence map›Paper›PMID 34884870›Full record

ArticleInternational journal of molecular sciences2021

IFPTML Mapping of Drug Graphs with Protein and Chromosome Structural Networks vs. Pre-Clinical Assay Information for Discovery of Antimalarial Compounds.

Viviana Quevedo-Tumailli, Bernabe Ortega-Tenezaca, Humberto González-Díaz

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 24% of its field
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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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 at 2 institutions in 2 countries.

Viviana Quevedo-TumailliGrupo RNASA-IMEDIR, Department of Computer Science, University of A Coruña, 15071 A Coruña, Spain.ORCID 0000-0001-8278-3632
Bernabe Ortega-TenezacaGrupo RNASA-IMEDIR, Department of Computer Science, University of A Coruña, 15071 A Coruña, Spain.ORCID 0000-0001-9693-6951
Humberto González-DíazDepartment of Organic and Inorganic Chemistry, University of the Basque Country UPV/EHU, 48940 Leioa, Spain.ORCID 0000-0002-9392-2797
Universidade da Coruña · ESIkerbasque · ES

Funding

Basque Government IT1045-16Ministerio de Fomento PID2019-104148GB-I00
6 · The paper itself

Abstract

The parasite species of genus

Indexed as

Machine LearningAlgorithmsAntimalarialsDatabases, PharmaceuticalDrug DiscoveryDrug Evaluation, PreclinicalGenome, ProtozoanMarkov ChainsModels, TheoreticalPlasmodium falciparumProtozoan ProteinsReproducibility of ResultsAntimalarialsProtozoan ProteinsAntimalarial compoundsChEMBLcomplex networksmachine learningNCBI-GDVperturbation theoryPlasmodium proteomeUniProt

Identifiers

PMID34884870
PMCPMC8657696
OpenAlexW3217058345

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.