Evidence map›Paper›PMID 41179155›Full record

ArticleACS omega2025

Comparative Data Analysis of Virtual Screening Methodologies for Predicting Urease Inhibitory Activity.

Elizabeth Valdés-Muñoz, Gabriel J Olguín-Orellana, Sofía E Ríos-Rozas, Melissa Alegría-Arcos, Natalia Morales, Vicente Rojas-Santander, Javier Farías-Abarca, Jonathan M Palma, Erix W Hernández-Rodríguez, Reynier Suardíaz and 1 more

Abstract read
In one paragraph

Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

11 authors.

Elizabeth Valdés-MuñozDoctorate in Translational Biotechnology, Center for Biotechnology of Natural Resources, Universidad Catolica del Maule, Talca 3480094, Chile.ORCID https://orcid.org/0009-0007-3111-7729
Gabriel J Olguín-OrellanaDepartamento de Farmacología, Facultad de Ciencias Biológicas, Universidad de Concepción, Concepción 4030000, Chile.ORCID https://orcid.org/0000-0003-1239-5962
Sofía E Ríos-RozasLaboratory of Bioinformatics and Computational Chemistry, Department of Translational Medicine, Faculty of Medicine, Universidad Católica del Maule, Talca 3480094, Chile.ORCID https://orcid.org/0009-0003-4907-3964
Melissa Alegría-ArcosData Science Research Center, Faculty of Engineering and Business, Universidad de las Américas, Santiago 7500000, Chile.ORCID https://orcid.org/0000-0002-9372-9153
Natalia MoralesLaboratory of Bioinformatics and Computational Chemistry, Department of Translational Medicine, Faculty of Medicine, Universidad Católica del Maule, Talca 3480094, Chile.
Vicente Rojas-SantanderLaboratory of Bioinformatics and Computational Chemistry, Department of Translational Medicine, Faculty of Medicine, Universidad Católica del Maule, Talca 3480094, Chile.ORCID https://orcid.org/0009-0005-8791-9515
Javier Farías-AbarcaLaboratory of Bioinformatics and Computational Chemistry, Department of Translational Medicine, Faculty of Medicine, Universidad Católica del Maule, Talca 3480094, Chile.ORCID https://orcid.org/0009-0006-1828-4656
Jonathan M PalmaFaculty of Engineering, Universidad de Talca, Curicó 3460000, Chile.ORCID https://orcid.org/0000-0002-3924-1907
Erix W Hernández-RodríguezLaboratory of Bioinformatics and Computational Chemistry, Department of Translational Medicine, Faculty of Medicine, Universidad Católica del Maule, Talca 3480094, Chile.ORCID https://orcid.org/0000-0002-9231-7552
Reynier SuardíazDepartment of Physical Chemistry, Faculty of Chemical Sciences, Complutense University of Madrid, 28040 Madrid, Spain.ORCID https://orcid.org/0000-0002-1035-9020
Daniel BustosLaboratory of Bioinformatics and Computational Chemistry, Department of Translational Medicine, Faculty of Medicine, Universidad Católica del Maule, Talca 3480094, Chile.ORCID https://orcid.org/0000-0002-2136-2305

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Structure-based virtual screening (SBVS) is a fundamental approach in drug discovery, yet its predictive accuracy is highly dependent on methodological choices, scoring functions, and data processing strategies. This study systematically evaluates five protocol variants integrating molecular docking, induced-fit docking (IFD), quantum-polarized ligand docking (QPLD), ensemble docking (ED), and molecular mechanics/generalized Born surface area (MM-GBSA) in

Identifiers

PMID41179155
PMCPMC12573011

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.