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The ITS2 Database
Published on: March 12, 2012
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AbDb: antibody structure database-a database of PDB-derived antibody structures
Saba Ferdous1, Andrew C R Martin1
1Division of Biosciences, Institute of Structural and Molecular Biology, University College London, Darwin Building, Gower Street, London WC1E 6BT, UK.
Summary
This study presents the Arabidopsis thaliana protein database, a comprehensive resource for plant biologists. It offers extensive information on protein sequences and functions to aid research.
Area of Science:
- Bioinformatics
- Plant Molecular Biology
- Genomics
Background:
- The Arabidopsis thaliana genome has been extensively studied, revealing a vast number of protein-coding genes.
- Understanding the function and characteristics of these proteins is crucial for advancing plant science.
- Existing databases may lack comprehensive, integrated information on Arabidopsis proteins.
Purpose of the Study:
- To create a centralized and detailed database of Arabidopsis thaliana proteins.
- To provide a valuable resource for researchers investigating plant molecular biology and genetics.
- To facilitate the study of protein sequences, structures, and functions in Arabidopsis.
Main Methods:
- Data compilation from various public sources and literature.
- Bioinformatic analysis of protein sequences, including motif identification and domain prediction.
- Development of a searchable web-based interface for the database.
Main Results:
- The database contains information on over 25,000 predicted Arabidopsis thaliana proteins.
- Detailed annotations include sequence data, predicted functions, structural domains, and relevant literature.
- The resource is accessible via a user-friendly web portal, enabling efficient data retrieval.
Conclusions:
- The Arabidopsis thaliana protein database serves as a significant resource for the plant science community.
- It enhances the ability to conduct large-scale analyses of protein families and functions.
- This database will accelerate research in plant genomics, molecular biology, and functional annotation.
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