ArticleNucleic acids research2026
ARKbase: Antimicrobial Resistance Knowledgebase1.0.
Article in Nucleic acids research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Computational Genomics for Resistome Characterization: Current Advancements and Future Challenges Under a One Health Perspective.Antibiotics (Basel, Switzerland) · 2026Review
- Profiling the gut resistome to unlock antimicrobial resistance biology and inform clinical risk.Nature communications · 2026Review
- The 2026 Nucleic Acids Research database issue and the online molecular biology database collection.Nucleic acids research · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
Abstract
Antimicrobial resistance (AMR) is one of the most pressing global health challenges, often referred to as a 'silent pandemic.' Towards this, ARKbase is developed as an integrated, curated, value-added knowledgebase for AMR, with focus on WHO Bacterial Priority Pathogens. ARKbase has three core modules namely-Database, Insight, and Comparative Analysis Module-each offering curated data, including data analysed with custom-built pipelines. The Database Module has curated reference genomes and pan genomes along with antimicrobial susceptibility testing (AST) profiles. The Insight Module has 14 sub-modules and offers deep annotations encompassing antimicrobial resistance genes, virulence factors, structure annotation, host-pathogen interactions, biosynthetic gene clusters, known antibiotics, protein-protein interactions, drug targets, co-targets, drug-target interactions, machine learning models, and curated transcriptomic datasets for antibiotic exposure. The Comparative Analysis module offers a simple interface for comparing antimicrobial resistance genes, virulence factors, and drug targets among different priority pathogens. The data included in ARKbase are quality-checked and curated as per CLSI standards for AST, EUCAST guidelines for genome sequence, and the FAIR data principles. ARKbase is the first comprehensive knowledgebase focusing on WHO priority pathogens and AWaRe classification, enabling a combined evidence approach towards a holistic understanding of AMR. Available at https://datascience.imtech.res.in/anshu/arkbase.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.