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Protein Sequence Databases

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Book cover Data Mining Techniques for the Life Sciences

Part of the book series: Methods in Molecular Biology ((MIMB,volume 609))

Abstract

Protein sequence databases do not contain just the sequence of the protein itself but also annotation that reflects our knowledge of its function and contributing residues. In this chapter, we will discuss various public protein sequence databases, with a focus on those that are generally applicable. Special attention is paid to issues related to the reliability of both sequence and annotation, as those are fundamental to many questions researchers will ask. Using both well-annotated and scarcely annotated human proteins as examples, it will be shown what information about the targets can be collected from freely available Internet resources and how this information can be used. The results are shown to be summarized in a simple graphical model of the protein’s sequence architecture highlighting its structural and functional modules.

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Author information

Authors and Affiliations

  1. Head Bioinformatics Support, Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland

    Michael Rebhan

Authors
  1. Michael Rebhan
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Editor information

Editors and Affiliations

  1. Max F. Perutz Laboratories GmbH, Universität Wien, Dr. Bohr-Gasse 9, Wien, 1030, Austria

    Oliviero Carugo

  2. Research (A*STAR), Agency for Science & Technology, Biopolis Street 30, Singapore, 138671, Singapore

    Frank Eisenhaber

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© 2010 Humana Press, a part of Springer Science+Business Media, LLC

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Rebhan, M. (2010). Protein Sequence Databases. In: Carugo, O., Eisenhaber, F. (eds) Data Mining Techniques for the Life Sciences. Methods in Molecular Biology, vol 609. Humana Press. https://doi.org/10.1007/978-1-60327-241-4_3

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  • DOI: https://doi.org/10.1007/978-1-60327-241-4_3

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  • Publisher Name: Humana Press

  • Print ISBN: 978-1-60327-240-7

  • Online ISBN: 978-1-60327-241-4

  • eBook Packages: Springer Protocols

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