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Advanced Information and Knowledge Processing

Data Mining in Bioinformatics

Editors: Wang, J.T.L., Zaki, M.J., Toivonen, H., Shasha, D. (Eds.)

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About this book

8. 1. 1 Protein Subcellular Location The life sciences have entered the post-genome era where the focus of biologicalresearchhasshiftedfromgenomesequencestoproteinfunctionality. Withwhole-genomedraftsofmouseandhumaninhand,scientistsareputting more and more e?ort into obtaining information about the entire proteome in a given cell type. The properties of a protein include its amino acid sequences, its expression levels under various developmental stages and in di?erenttissues,its3Dstructureandactivesites,itsfunctionalandstructural binding partners, and its subcellular location. Protein subcellular location is important for understanding protein function inside the cell. For example, the observation that the product of a gene is localized in mitochondria will support the hypothesis that this protein or gene is involved in energy metabolism. Proteins localized in the cytoskeleton are probably involved in intracellular tra?cking and support. The context of protein functionality is well represented by protein subcellular location. Proteins have various subcellular location patterns [250]. One major category of proteins is synthesized on free ribosomes in the cytoplasm. Soluble proteins remain in the cytoplasm after their synthesis and function as small factories catalyzing cellular metabolites. Other proteins that have a target signal in their sequences are directed to their target organelle (such as mitochondria) via posttranslational transport through the organelle membrane. Nuclear proteins are transferred through pores on the nuclear envelope to the nucleus and mostly function as regulators. The second major category of proteins is synthesized on endoplasmic reticulum(ER)-associated ribosomes and passes through the reticuloendothelial system, consisting of the ER and the Golgi apparatus.

Table of contents (12 chapters)

  • Introduction to Data Mining in Bioinformatics

    Wang, Jason T. L. (et al.)

    Pages 3-8

  • Survey of Biodata Analysis from a Data Mining Perspective

    Bajcsy, Peter (et al.)

    Pages 9-39

  • AntiClustAl: Multiple Sequence Alignment by Antipole Clustering

    Pietro, Cinzia (et al.)

    Pages 43-57

  • RNA Structure Comparison and Alignment

    Zhang, Kaizhong

    Pages 59-81

  • Piecewise Constant Modeling of Sequential Data Using Reversible Jump Markov Chain Monte Carlo

    Salmenkivi, Marko (et al.)

    Pages 85-103

Buy this book

eBook $149.00
price for USA in USD (gross)
  • ISBN 978-1-84628-059-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $199.99
price for USA in USD
  • ISBN 978-1-85233-671-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $199.00
price for USA in USD
  • ISBN 978-1-84996-894-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Data Mining in Bioinformatics
Editors
  • Jason T. L. Wang
  • Mohammed J. Zaki
  • Hannu Toivonen
  • Dennis Shasha
Series Title
Advanced Information and Knowledge Processing
Copyright
2005
Publisher
Springer-Verlag London
Copyright Holder
Springer-Verlag London
eBook ISBN
978-1-84628-059-7
DOI
10.1007/b138131
Hardcover ISBN
978-1-85233-671-4
Softcover ISBN
978-1-84996-894-2
Series ISSN
1610-3947
Edition Number
1
Number of Pages
XII, 340
Number of Illustrations and Tables
110 b/w illustrations
Topics