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Automated Modular High Throughput Exopolysaccharide Screening Platform Coupled with Highly Sensitive Carbohydrate Fingerprint Analysis
Published on: April 11, 2016
The exopolysaccharide properties and structures database: EPS-DB. Application to bacterial exopolysaccharides
Johnny Birch1, Marie-Rose Van Calsteren2, Serge Pérez3
1Enzyme and Protein Chemistry, Department of Biotechnology and Biomedicine, Technical University of Denmark, Søltofts Plads, Building 224, DK-2800 Kgs. Lyngby, Denmark.
The Exopolysaccharides Database (EPS-DB) offers comprehensive bacterial exopolysaccharide information. This accessible online resource facilitates research in glycoscience and bacterial biology.
Area of Science:
- Glycoscience
- Microbiology
- Bioinformatics
Background:
- Bacterial exopolysaccharides (EPSs) are crucial biopolymers with diverse biological roles.
- Accessing comprehensive information on EPS structures, genetics, and functions is challenging.
- Existing databases lack integrated data on EPS properties and origins.
Purpose of the Study:
- To introduce the Exopolysaccharides Database (EPS-DB), a centralized online resource for bacterial EPS data.
- To provide a user-friendly platform for accessing detailed information on EPS.
- To ensure interoperability with other glycoscience databases.
Main Methods:
- Development of a web-based, platform-independent database.
- Implementation of standardized data representation schemes for structural information.
- Integration of taxonomic, growth condition, functional, genetic, and bibliographic data.
- Creation of a user-friendly interface for data retrieval and exploration.
Main Results:
- The EPS-DB provides access to extensive data on bacterial exopolysaccharides.
- Structural data adheres to commonly accepted formats, ensuring interoperability.
- The database includes information on taxonomy, growth conditions, functions, genetics, and literature.
- A demonstration using EPS from lactic acid bacteria showcases the database's utility.
Conclusions:
- The EPS-DB serves as a valuable, freely accessible resource for researchers in glycoscience and related fields.
- Its comprehensive and interoperable data structure supports diverse scientific investigations.
- The user-friendly interface promotes efficient data discovery and utilization for bacterial EPS research.
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