Evidence map›Paper›PMID 42192691›Full record

ReviewAntibiotics (Basel, Switzerland)2026

Next-Generation Target Discovery in ESKAPE Pathogens: An AI-Driven Framework from Omics-Based to Systems-Level Modeling and Clinical Translation.

Eleonora Chines, Adriana Antonina Tempesta, Ludovica Boscarelli, Matteo Francesco Parisi, Lorenzo Marcoccia, Antonino Capillo, Maria Lina Mezzatesta, Caterina Ledda, Marco Chessari, Viviana Cafiso

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Antibiotics (Basel, Switzerland), 2026. 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. Review
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.

Eleonora ChinesDepartment of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy.ORCID 0009-0007-5673-5048
Adriana Antonina TempestaDepartment of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy.ORCID 0009-0001-7957-4351
Ludovica BoscarelliDepartment of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy.
Matteo Francesco ParisiDepartment of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy.
Lorenzo MarcocciaUnit of AI and Computer Systems, Department of Engineering, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.
Antonino CapilloHorAlzon Lab., Teleconsys SpA, 00144 Rome, Italy.
Maria Lina MezzatestaDepartment of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy.
Caterina LeddaOccupational Medicine, Department of Clinical and Experimental Medicine, University of Catania, 95123 Catania, Italy.ORCID 0000-0003-0739-8798
Marco ChessariHorAlzon Lab., Teleconsys SpA, 00144 Rome, Italy.
Viviana CafisoDepartment of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy.ORCID 0000-0002-0785-7934

Funding

EU funding with the MUR PRIN 2022 PNRR, project number P2022RHYTM, title: "A snapshot of transferable plasmids based on omics and clonal epidemiology in hospital acquired carbapenem-resistant Enterobacterales: a pilot study" MUR PRIN 2022 PNRR, project number P2022RHYTM
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

antimicrobial resistanceartificial intelligence (AI)deep learningESKAPE pathogensmachine learningnext-generation ESKAPE target discoverytarget prioritization

Identifiers

PMID42192691
PMCPMC13203839

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.