Evidence map›Paper›PMID 38069104›Full record

ArticleInternational journal of molecular sciences2023

A Proposal for a Consolidated Structural Model of the CagY Protein of

Mario Angel López-Luis, Eva Elda Soriano-Pérez, José Carlos Parada-Fabián, Javier Torres, Rogelio Maldonado-Rodríguez, Alfonso Méndez-Tenorio

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

6 authors at 2 institutions in 1 country.

Mario Angel López-LuisLaboratorio de Biotecnología y Bioinformática Genómica, Departamento de Bioquímica, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Campus Lázaro Cárdenas, Mexico City 11340, Mexico.ORCID 0000-0002-1843-9922
Eva Elda Soriano-PérezLaboratorio de Biotecnología y Bioinformática Genómica, Departamento de Bioquímica, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Campus Lázaro Cárdenas, Mexico City 11340, Mexico.ORCID 0000-0001-5171-8862
José Carlos Parada-FabiánLaboratorio de Biotecnología y Bioinformática Genómica, Departamento de Bioquímica, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Campus Lázaro Cárdenas, Mexico City 11340, Mexico.
Javier TorresUnidad de Investigación en Enfermedades Infecciosas, UMAE Pediatría, Instituto Mexicano del Seguro Social, Mexico City 06720, Mexico.ORCID 0000-0003-3945-4221
Rogelio Maldonado-RodríguezLaboratorio de Biotecnología y Bioinformática Genómica, Departamento de Bioquímica, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Campus Lázaro Cárdenas, Mexico City 11340, Mexico.
Alfonso Méndez-TenorioLaboratorio de Biotecnología y Bioinformática Genómica, Departamento de Bioquímica, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Campus Lázaro Cárdenas, Mexico City 11340, Mexico.ORCID 0000-0003-1871-4311
Instituto Politécnico Nacional · MXMexican Social Security Institute · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

CagY is the largest and most complex protein from

Indexed as

GastritisHelicobacter InfectionsHelicobacter pyloriAntigens, BacterialBacterial ProteinsHumansInflammationAntigens, BacterialBacterial ProteinsbioinformaticsCagY proteindeep learningstructural biologyT4SS

Identifiers

PMID38069104
PMCPMC10706595
OpenAlexW4389056852

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.