ArticleMicrobiology spectrum2026
KEGG orthology-based machine learning reveals functional determinants of antimicrobial resistance in
Zhihang Zheng, Bei Jiang, Abebe Mekuria Shenkutie, Jingyuan Bian, Yuyao Yan, Ruizhen Pi, Qing Xiong, Polly Hang-Mei Leung
Abstract read
In one paragraphArticle in Microbiology spectrum, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
8 authors.
Zhihang Zheng *Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China.ORCID 0000-0001-7986-4925 Bei Jiang *Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China.ORCID 0009-0004-3176-4983 Abebe Mekuria ShenkutieDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China.
Jingyuan BianDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China.
Yuyao YanDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China.
Ruizhen PiDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China.
Qing XiongDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China.ORCID 0000-0001-6000-4677 Polly Hang-Mei LeungDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China.ORCID 0000-0003-2406-4773 Funding
Hong Kong Polytechnic University 1-WZA7
6 · The paper itselfAbstract
Antimicrobial resistance represents a critical global health threat, with IMPORTANCE:
Indexed as
Acinetobacter baumanniiAnti-Bacterial AgentsDrug Resistance, Multiple, BacterialMachine LearningAcinetobacter InfectionsBacterial Proteinsbeta-LactamasesBoosting Machine Learning AlgorithmsGenomicsHumansMicrobial Sensitivity TestsWhole Genome SequencingAnti-Bacterial AgentsBacterial Proteinsbeta-LactamasescarbapenemaseAcinetobacter baumanniiantimicrobial resistancefunctional genomicsKEGG orthologymachine learning
Identifiers
PMID42095666
PMCPMC13228011
What OpenQuestion holds
Textmetadata
LicenceCC BY
Read underepoch 390