Evidence map›Paper›PMID 40142001›Full record

ArticleMolecules (Basel, Switzerland)2025

Seeking Correlation Among Porin Permeabilities and Minimum Inhibitory Concentrations Through Machine Learning: A Promising Route to the Essential Molecular Descriptors.

Sara Boi, Silvia Puxeddu, Ilenia Delogu, Domenica Farci, Dario Piano, Aldo Manzin, Matteo Ceccarelli, Fabrizio Angius, Mariano Andrea Scorciapino, Stefan Milenkovic

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Molecules (Basel, Switzerland), 2025. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

10 authors.

Sara BoiDepartment of Chemical and Geological Sciences, University of Cagliari, S.P. 8 km 0,700, I-09042 Monserrato, CA, Italy.
Silvia PuxedduDepartment of Biomedical Sciences, University of Cagliari, S.P. 8 km 0,700, I-09042 Monserrato, CA, Italy.ORCID 0009-0008-4612-9316
Ilenia DeloguDepartment of Biomedical Sciences, University of Cagliari, S.P. 8 km 0,700, I-09042 Monserrato, CA, Italy.ORCID 0000-0002-8846-5683
Domenica FarciDepartment of Life and Environmental Sciences, University of Cagliari, S.P. 8 km 0,700, I-09042 Monserrato, CA, Italy.ORCID 0000-0002-3691-2699
Dario PianoDepartment of Life and Environmental Sciences, University of Cagliari, S.P. 8 km 0,700, I-09042 Monserrato, CA, Italy.ORCID 0000-0003-2980-7572
Aldo ManzinDepartment of Biomedical Sciences, University of Cagliari, S.P. 8 km 0,700, I-09042 Monserrato, CA, Italy.ORCID 0000-0003-2961-3428
Matteo CeccarelliDepartment of Physics, University of Cagliari, S.P. 8 km 0,700, I-09042 Monserrato, CA, Italy.ORCID 0000-0003-4272-902X
Fabrizio AngiusDepartment of Biomedical Sciences, University of Cagliari, S.P. 8 km 0,700, I-09042 Monserrato, CA, Italy.ORCID 0000-0001-6613-603X
Mariano Andrea ScorciapinoDepartment of Chemical and Geological Sciences, University of Cagliari, S.P. 8 km 0,700, I-09042 Monserrato, CA, Italy.ORCID 0000-0001-7502-7265
Stefan MilenkovicDepartment of Physics, University of Cagliari, S.P. 8 km 0,700, I-09042 Monserrato, CA, Italy.ORCID 0000-0002-1327-3564

Funding

Italian Ministry of University and Research Project no. PE00000007, INF-ACTSardegna Ricerche CUP F73C22000560002(2022)
6 · The paper itself

Abstract

Developing effective antibiotics against Gram-negative bacteria remains challenging due to their protective outer membrane. With this study, we investigated the relationship between antibiotic permeation through the OmpF porin of

Indexed as

Anti-Bacterial AgentsEscherichia coliMachine LearningPorinsCell Membrane PermeabilityMicrobial Sensitivity TestsPermeabilityQuantitative Structure-Activity RelationshipAnti-Bacterial AgentsOmpF proteinPorinsantibioticsartificial intelligencedrug designinfectious diseasesin silico screeningliposomesmolecular dynamics

Identifiers

PMID40142001
PMCPMC11944608

What OpenQuestion holds

Textmetadata
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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.