Data Mining in Bioinformatics
Editors: Wang, J.T.L., Zaki, M.J., Toivonen, H., Shasha, D. (Eds.)
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- About this book
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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)
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Introduction to Data Mining in Bioinformatics
Pages 3-8
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Survey of Biodata Analysis from a Data Mining Perspective
Pages 9-39
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AntiClustAl: Multiple Sequence Alignment by Antipole Clustering
Pages 43-57
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RNA Structure Comparison and Alignment
Pages 59-81
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Piecewise Constant Modeling of Sequential Data Using Reversible Jump Markov Chain Monte Carlo
Pages 85-103
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Table of contents (12 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Data Mining in Bioinformatics
- Editors
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- 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
- 110 b/w illustrations
- Topics
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