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The SBASE domain sequence library, release 10: domain architecture prediction.
Kristian Vlahovicek1, Laszló Kaján, János Murvai
1ICGEB-International Center for Genetic Engineering and Biotechnology, Area Science Park, 34012 Trieste, Italy.
Nucleic Acids Research
|January 10, 2003
Summary
The SBASE database now offers over 1 million protein domain sequences for homology detection. This updated resource aids in identifying protein domains and predicting function using computational tools.
Area of Science:
- Bioinformatics
- Computational Biology
- Structural Biology
Background:
- Protein domains are fundamental units of proteins, crucial for structure and function.
- Identifying homologous domains is key to understanding protein evolution and function.
- Existing databases require efficient tools for domain homology detection.
Purpose of the Study:
- To present the 10th release of the SBASE database, a comprehensive resource for protein domain sequences.
- To introduce computational tools facilitating the detection of protein domain homologies.
- To enhance functional prediction of protein domains through database comparisons.
Main Methods:
- Utilizing BLAST for sequence similarity searches against the SBASE library.
- Developing a knowledge base of biologically significant similarities from clustered domain groups.
- Employing a memory-based approach for automatic learning of group-specific similarity functions.
Main Results:
- The SBASE library now contains 1,052,904 protein sequence segments.
- These segments are annotated by structure, function, ligand-binding, or cellular topology.
- Over 6000 distinct protein domain groups are available, facilitating domain identification.
Conclusions:
- The SBASE database provides a robust platform for protein domain analysis.
- The integrated computational tools simplify homology detection and functional prediction.
- This resource supports research in protein science and bioinformatics.