ARKbase: <u>A</u> ntimicrobial <u>R</u> esistance <u>K</u> nowledgebase1.0

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.

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Publication Details

Journal
Nucleic Acids Research
Published
2025-11-21
DOI
https://doi.org/10.1093/nar/gkaf1307
Citations
1
Primary Topic
Antibiotic Resistance in Bacteria
Type
article
Field-Weighted Citation Impact
0.59
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article

ARKbase: <u>A</u> ntimicrobial <u>R</u> esistance <u>K</u> nowledgebase1.0

Jasleen Kaur, S.S. Gambhir, Ankita Das, Suhani Dange et al.
1 citations
Nucleic Acids Research
Antibiotic Resistance in Bacteria
0.59
article

ARKbase: <u>A</u> ntimicrobial <u>R</u> esistance <u>K</u> nowledgebase1.0

Jasleen Kaur, S.S. Gambhir, Ankita Das, Suhani Dange, A. Bhardwaj, V. K. Singh, Mayur Sudhakar Zarkar, Rupali Aggarwal, Upasana Maity, Shivani Seth, Bhupender Singh, Raghav Sankhdher, Gnanasekar Pranavathiyani, Shweta Pandey, Harsh Bajetha
article en
1 citations

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.

Nucleic Acids ResearchVol. 54(D1)
Institute of Microbial Technology (IN), Center for Excellence in Basic Sciences (IN), J.C. Bose University of Science & Technology, YMCA (IN), Academy of Scientific and Innovative Research (IN)
Good health and well-being
Openalex Percentile: Top 26%
Antibiotic Resistance in Bacteria
0.59
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