creators_name: Gambhir, Simran
creators_name: Pandey, Shweta
creators_name: Bajetha, Harsh
creators_name: Kaur, Jasleen
creators_name: Das, Ankita
creators_name: Pranavathiyani, Gnanasekar
creators_name: Aggarwal, Rupali
creators_name: Maity, Upasana
creators_name: Dange, Suhani
creators_name: Singh, Vipin
creators_name: Zarkar, Mayur
creators_name: Sankhdher, Raghav
creators_name: Singh, Bhupender
creators_name: Seth, Shivani
creators_name: Bhardwaj, Anshu
type: article
datestamp: 2026-02-02 07:15:24
lastmod: 2026-02-02 07:41:36
metadata_visibility: show
title: ARKbase: Antimicrobial resistance Knowledgebase1.0
ispublished: pub
subjects: QR
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.
date: 2025
date_type: published
publication: Nucleic Acids Res.
volume: 54
number: D1
publisher: Oxford University Press (OUP)
pagerange: D703-D714
refereed: TRUE
citation:   Gambhir, Simran and Pandey, Shweta and Bajetha, Harsh and Kaur, Jasleen and Das, Ankita and Pranavathiyani, Gnanasekar and Aggarwal, Rupali and Maity, Upasana and Dange, Suhani and Singh, Vipin and Zarkar, Mayur and Sankhdher, Raghav and Singh, Bhupender and Seth, Shivani and Bhardwaj, Anshu  (2025) ARKbase: Antimicrobial resistance Knowledgebase1.0.  Nucleic Acids Res., 54 (D1).  D703-D714.