Evidence map›Paper›PMID 38673888›Full record

ArticleInternational journal of molecular sciences2024

Machine Learning-Driven Classification of Urease Inhibitors Leveraging Physicochemical Properties as Effective Filter Criteria.

Natalia Morales, Elizabeth Valdés-Muñoz, Jaime González, Paulina Valenzuela-Hormazábal, Jonathan M Palma, Christian Galarza, Ángel Catagua-González, Osvaldo Yáñez, Alfredo Pereira, Daniel Bustos

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2024. 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
0.6field-weighted citation impact, top 38% 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, 3 citations in OpenAlex.

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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

10 authors at 6 institutions in 2 countries.

Natalia MoralesMagíster en Ciencias de la Computación, Universidad Católica del Maule, Talca 3460000, Chile.
Elizabeth Valdés-MuñozDoctorado en Biotecnología Traslacional, Centro de Biotecnología de los Recursos Naturales, Universidad Católica del Maule, Talca 3480094, Chile.
Jaime GonzálezMagíster en Ciencias de la Computación, Universidad Católica del Maule, Talca 3460000, Chile.ORCID 0000-0003-0972-899X
Paulina Valenzuela-HormazábalDepartamento de Farmacología, Facultad de Ciencias Biológicas, Universidad de Concepción, Concepción 4030000, Chile.ORCID 0009-0008-6110-1573
Jonathan M PalmaFacultad de Ingeniería, Universidad de Talca, Curicó 3344158, Chile.
Christian GalarzaDepartamento de Matemáticas, Facultad de Ciencias Naturales y Matemáticas, Escuela Superior Politécnica del Litoral, Guayaquil EC090903, Ecuador.ORCID 0000-0002-4818-6006
Ángel Catagua-GonzálezDepartamento de Matemáticas, Facultad de Ciencias Naturales y Matemáticas, Escuela Superior Politécnica del Litoral, Guayaquil EC090903, Ecuador.
Osvaldo YáñezNúcleo de Investigación en Data Science, Facultad de Ingeniería y Negocios, Universidad de las Américas, Santiago 7500000, Chile.ORCID 0000-0001-8993-9353
Alfredo PereiraFacultad de Ingeniería, Arquitectura y Diseño, Universidad San Sebastián, Bellavista 7, Santiago 8420524, Chile.
Daniel BustosLaboratorio de Bioinformática y Química Computacional, Departamento de Medicina Traslacional, Facultad de Medicina, Universidad Católica del Maule, Talca 3480094, Chile.ORCID 0000-0002-2136-2305
Catholic University of the Maule · CLEscuela Superior Politecnica del Litoral · ECSan Sebastián University · CLUniversity of Concepción · CLUniversity of Talca · CLUniversity of the Americas · CL

Funding

Agencia Nacional de Investigación y Desarrollo FOVI230136
6 · The paper itself

Abstract

Urease, a pivotal enzyme in nitrogen metabolism, plays a crucial role in various microorganisms, including the pathogenic

Indexed as

Enzyme InhibitorsMachine LearningUreaseAlgorithmsHelicobacter pyloriHumansEnzyme InhibitorsUreasebioactivity predictioncheminformaticsclassification modelsmachine learningpredictive modelingurease inhibitors

Identifiers

PMID38673888
PMCPMC11049951
OpenAlexW4394821497

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.