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PlasRAG: comprehensive plasmid characterization and retrieval through sequence-text alignment
Yongxin Ji1, Jiaojiao Guan1, Herui Liao2
1Department of Electrical Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR (HKG), China.
Genome Biology
|February 7, 2026
Summary
PlasRAG is a new tool for characterizing plasmids, which are crucial in the rise of drug-resistant bacteria. It efficiently retrieves plasmid DNA using text queries and analyzes their properties.
Area of Science:
- Genomics
- Bioinformatics
- Microbiology
Background:
- Plasmids are key drivers of multidrug resistance and bacterial pathogenicity, presenting major clinical issues.
- A large number of plasmids remain unannotated, hindering comprehensive understanding and characterization.
- Efficient tools are needed to analyze plasmid properties and facilitate DNA retrieval.
Purpose of the Study:
- To introduce PlasRAG, a novel computational tool for plasmid characterization and DNA retrieval.
- To develop a method for integrating multi-faceted property analysis of plasmids.
- To enable plasmid DNA retrieval based on textual queries.
Main Methods:
- PlasRAG utilizes a bidirectional multi-modal information retrieval model.
- The model aligns DNA sequences with textual data for enhanced analysis.
- The tool integrates comprehensive property characterization of query plasmids.
Main Results:
- PlasRAG demonstrates robust performance in plasmid property characterization.
- The tool provides enhanced analytical capabilities for plasmid DNA.
- Experimental validation confirms the effectiveness of PlasRAG's architectural design.
Conclusions:
- PlasRAG offers an effective solution for the comprehensive characterization of unannotated plasmids.
- The tool advances plasmid analysis by integrating sequence and text data.
- PlasRAG addresses the limitations of traditional methods in plasmid research.
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