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Data Mining in Bioinformatics: Advanced Information and Knowledge Processing

Editat de Jason T. L. Wang, Mohammed J. Zaki, Hannu Toivonen, Dennis Shasha
en Limba Engleză Hardback – 18 oct 2004
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 ERand the Golgi apparatus.
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Specificații

ISBN-13: 9781852336714
ISBN-10: 1852336714
Pagini: 340
Ilustrații: XII, 340 p. 110 illus.
Dimensiuni: 155 x 235 x 21 mm
Greutate: 0.61 kg
Ediția:2005
Editura: SPRINGER LONDON
Colecția Springer
Seria Advanced Information and Knowledge Processing

Locul publicării:London, United Kingdom

Public țintă

Research

Cuprins

Overview.- to Data Mining in Bioinformatics.- Survey of Biodata Analysis from a Data Mining Perspective.- Sequence and Structure Alignment.- AntiClustAl: Multiple Sequence Alignment by Antipole Clustering.- RNA Structure Comparison and Alignment.- Biological Data Mining.- Piecewise Constant Modeling of Sequential Data Using Reversible Jump Markov Chain Monte Carlo.- Gene Mapping by Pattern Discovery.- Predicting Protein Folding Pathways.- Data Mining Methods for a Systematics of Protein Subcellular Location.- Mining Chemical Compounds.- Biological Data Management.- Phyloinformatics: Toward a Phylogenetic Database.- Declarative and Efficient Querying on Protein Secondary Structures.- Scalable Index Structures for Biological Data.

Caracteristici

No known book on this area First book containing the work of key researchers in biological data mining Presents new techniques on (a) gene expression data mining, (b) gene mapping for disease detection, and (c) phylogenetic knowledge discovery, which are of increasing importance but are absent in all previously published books in the area of computational biology Organized around the major themes of modern biology: sequence studies, proteomics and developmental biology - these are core areas of present and future research Includes supplementary material: sn.pub/extras