Evidence map›Paper›PMID 41437672›Full record

ArticleJournal of agricultural and food chemistry2026

Machine Learning- and AI-Driven QSAR Models for the Discovery of Novel Potential Fungicides: FAPI (Fungicide Targeting Acid Phosphatase Inhibition).

María Gálvez-Llompart, Riccardo Zanni, Yandira Morales, Álvaro Polonio, Dolores Fernández-Ortuño, Alejandro Pérez-García, Facundo Pérez-Giménez

Abstract read
In one paragraph

Article in Journal of agricultural and food chemistry, 2026. 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

7 authors.

María Gálvez-LlompartDepartment of Preventive Medicine and Public Health, Food Science, Toxicology and Forensic Medicine, Faculty of Pharmacy and Food Science, University of Valencia, Burjassot 46100, Valencia, Spain.ORCID 0000-0002-0718-4143
Riccardo ZanniDepartment of Physical Chemistry, University of Valencia, 46100 Burjassot, Valencia, Spain.ORCID 0000-0002-3388-3730
Yandira MoralesDepartment of Microbiology, Faculty of Science, Instituto de Hortofruticultura Subtropical y Mediterránea La Mayora, IHSM-UMA-CSIC, University of Malaga, Málaga 29071, Spain.
Álvaro PolonioDepartment of Microbiology, Faculty of Science, Instituto de Hortofruticultura Subtropical y Mediterránea La Mayora, IHSM-UMA-CSIC, University of Malaga, Málaga 29071, Spain.
Dolores Fernández-OrtuñoDepartment of Microbiology, Faculty of Science, Instituto de Hortofruticultura Subtropical y Mediterránea La Mayora, IHSM-UMA-CSIC, University of Malaga, Málaga 29071, Spain.
Alejandro Pérez-GarcíaDepartment of Microbiology, Faculty of Science, Instituto de Hortofruticultura Subtropical y Mediterránea La Mayora, IHSM-UMA-CSIC, University of Malaga, Málaga 29071, Spain.
Facundo Pérez-GiménezDepartment of Physical Chemistry, University of Valencia, 46100 Burjassot, Valencia, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fungal pathogens like

Indexed as

Acid PhosphataseEnzyme InhibitorsFungal ProteinsFungicides, IndustrialArtificial IntelligenceAscomycotaBotrytisDrug DiscoveryMachine LearningQuantitative Structure-Activity RelationshipAcid PhosphataseEnzyme InhibitorsFungal ProteinsFungicides, Industrialacid phosphataseAIBotrytis cinereafungicidemolecular dockingPodosphaera xanthiiQSAR

Identifiers

PMID41437672
PMCPMC12814334

What OpenQuestion holds

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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.