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SWISS-PROT: connecting biomolecular knowledge via a protein database
E Gasteiger1, E Jung, A Bairoch
1SWISS-PROT group, Swiss Institute of Bioinformatics, CMU, Genève. Elisabeth.Gasteiger@isb-sib.ch
Current Issues in Molecular Biology
|August 8, 2001
Summary
Biological data growth necessitates advanced storage solutions. This review highlights efforts to integrate biomolecular databases, like SWISS-PROT, for better biological complexity understanding.
Area of Science:
- Bioinformatics
- Computational Biology
- Genomics
- Proteomics
Background:
- The rapid expansion of biological data has outpaced traditional publication methods, making databases crucial for research.
- Biological databases are essential tools for scientists, storing diverse information like nucleic acid sequences, protein sequences, and tertiary structures.
- Integrating these specialized databases is vital due to the interconnected nature of biological information.
Purpose of the Study:
- To review the challenges and strategies for managing the explosive growth of biological data.
- To emphasize the importance of integrating diverse biomolecular databases for a comprehensive understanding of biological complexity.
- To showcase efforts in connecting biological information, using the SWISS-PROT protein database as a case study.
Main Methods:
- Classification of biological databases based on the type of information stored (sequence-related and specialized collections).
- Analysis of the interconnectedness of different biomolecular databases.
- Demonstration of data integration strategies through the SWISS-PROT database.
Main Results:
- Biological databases have become indispensable resources for biological sciences over the past two decades.
- Effective integration of sequence-related databases (nucleic acid, protein, structure) and specialized collections is achievable.
- The SWISS-PROT database serves as an example of successful integration of biological information.
Conclusions:
- The integration of biomolecular databases is essential for researchers to navigate and understand complex biological systems.
- Continued development of data storage and integration methods is critical to keep pace with biological data generation.
- Efforts like those in SWISS-PROT demonstrate the feasibility and benefits of connecting disparate biological information sources.