Blanket antimicrobial resistance gene database with structural information, BOARDS, provides insights on historical landscape of resistance prevalence and effects of mutations in enzyme structure.
Seyoung KoJaehyung KimJaewon LimSang-Mok LeeJoon Young ParkJihoon WooZoe K Scott-NevrosJong R KimHyunjin YoonDonghyuk KimPublished in: mSystems (2023)
While the increasing antibiotic resistance (AMR) in pathogen has been a burden on public health, effective tools for deep understanding of AMR based on genetic or structural information remain limited. In this study, a blanket overarching antimicrobial-resistance gene database with structure information (BOARDS)-a web-based database that comprehensively collected AMR gene data with predictive protein structural information was constructed. Additionally, we report the development of a RADAR pipeline that can analyze whole-genome sequences as well. BOARDS, which includes sequence and structural information, has shown the historical landscape and prevalence of the AMR genes and can provide insight into single-nucleotide polymorphism effects on antibiotic degrading enzymes within protein structures.
Keyphrases
- antimicrobial resistance
- genome wide
- public health
- health information
- copy number
- genome wide identification
- risk factors
- dna methylation
- adverse drug
- single cell
- high resolution
- gene expression
- healthcare
- transcription factor
- big data
- electronic health record
- machine learning
- social media
- mass spectrometry
- candida albicans
- small molecule
- genetic diversity