Evidence map›Paper›PMID 41465512›Full record

ArticleInternational journal of molecular sciences2025

Meta

Alessio Macorano, Serena Vittorio, Angelica Mazzolari, Alessandro Pedretti, Giulio Vistoli

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Alessio MacoranoDipartimento di Scienze Farmaceutiche, Università degli Studi di Milano, Via Mangiagalli 25, 20133 Milan, Italy.ORCID 0009-0008-2743-1827
Serena VittorioDipartimento di Scienze Farmaceutiche, Università degli Studi di Milano, Via Mangiagalli 25, 20133 Milan, Italy.ORCID 0000-0001-6092-5011
Angelica MazzolariDipartimento di Scienze Farmaceutiche, Università degli Studi di Milano, Via Mangiagalli 25, 20133 Milan, Italy.ORCID 0000-0003-1352-1094
Alessandro PedrettiDipartimento di Scienze Farmaceutiche, Università degli Studi di Milano, Via Mangiagalli 25, 20133 Milan, Italy.ORCID 0000-0001-5916-2029
Giulio VistoliDipartimento di Scienze Farmaceutiche, Università degli Studi di Milano, Via Mangiagalli 25, 20133 Milan, Italy.ORCID 0000-0002-3939-5172

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding and predicting the metabolic fate of xenobiotics is essential in early drug discovery stages, as poor ADMET properties are a leading cause of new drug candidates' failure. In silico metabolism modeling offers a way to design safer and more effective compounds. We present Meta

Indexed as

Quantum TheoryXenobioticsComputer SimulationDrug DiscoveryHumansPharmaceutical PreparationsPharmaceutical PreparationsXenobioticsmetabolic databasemetabolism predictionMetaQSARrandom forestsite of metabolism

Identifiers

PMID41465512
PMCPMC12732870

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.