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cover Data mining in bioinformati...
Data mining in bioinformatics
Springer ©2005

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

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Título:
Data mining in bioinformatics / Jason T.L. Wang [and others]
Editorial:
London : Springer, ©2005
Descripción física:
1 online resource (xi, 340 pages) : illustrations
Mención de serie:
Advanced information and knowledge processing, 1610-3947
Documento fuente:
Springer e-books
Bibliografía:
Includes bibliographical references (pages 303-326) and index
Contenido:
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
Lengua:
English
Copyright/Depósito Legal:
62713471 133156194 150332915 192060718 320967021 401410098 516040383 613457515 642461634 756420143 880015238 991954205 994766622 1005747281 1035708913 1044188617 1044307742 1044620908 1056333739 1056335101 1056393694 1058061838 1077847401
ISBN:
9781846280597
1846280591
1852336714 ( alk. paper)
9781852336714 ( alk. paper)
661029092X
9786610290925
Materia:
Autores:
Enlace a formato físico adicional:
Print version: Data mining in bioinformatics., London : Springer, ©2005 1852336714 9781852336714 (DLC) 2004048546 (OCoLC)55587153
Punto acceso adicional serie-Título:
Advanced information and knowledge processing. 1610-3947

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