03313nam a22004095i 4500001001800000003000900018005001700027007001500044008004100059020001800100020001900118024003100137040000900168082001200177100003200189245011600221264003800337300006200375336002600437337002600463338003900489347002400528490004000552505126000592520069801852650001402550650001802564650001702582650002502599650002402624650002602648710003402674773002002708776003602728830004002764856009902804978-0-387-36747-7DE-He21320260521091912.0cr nn 008mamaa100301s2006    xxu|    s    |||| 0|eng d  a9780387367477  a997803873674777 a10.1007/0-387-36747-02doi  cCICY04a6102231 aEisenhaber, Frank.eauthor.10aDiscovering Biomolecular Mechanisms with Computational Biologyh[recurso electrónico] /cby Frank Eisenhaber. 1aBoston, MA :bSpringer US,c2006.  aXI, 147p. 42 illus., 1 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  arecurso en líneabcr2rdacarrier  atext filebPDF2rda1 aMolecular Biology Intelligence Unit0 aPrediction of Post-translational modifications from amino acid sequence: Problems, pitfalls, methodological hints -- Deriving Biological Function of Genome Information with Biomolecular Sequence and Structure Analysis -- Reliable and Specific Protein Function Prediction by Combining Homology with Genomic(s) Context -- Clues from Three-Dimensional Structure Analysis and Molecular Modelling -- Prediction of Protein Function -- Complementing Biomolecular Sequence Analysis with Text Mining in Scientific Articles -- Extracting Information for Meaningful Function Inference through Text-Mining -- Literature and Genome Data Mining for Prioritizing Disease-Associated Genes -- Mechanistic Predictions from the Analysis of Biomolecular Networks -- Model-Based Inference of Transcriptional Regulatory Mechanisms from DNA Microarray Data -- The Predictive Power of Molecular Network Modelling -- Mechanistic Predictions from the Analysis of Biomolecular Sequence Populations: Considering Evolution for Function Prediction -- Theory of Early Molecular Evolution -- Hitchhiking Mapping -- Understanding the Functional Importance of Human Single Nucleotide Polymorphisms -- Correlations between Quantitative Measures of Genome Evolution, Expression and Function.  aIn this anthology, leading researchers present critical reviews of methods and high-impact applications in computational biology that lead to results that also non-bioinformaticians must know to design efficient experimental research plans. Discovering Biomolecular Mechanisms with Computational Biology also summarizes non-trivial theoretical predictions for regulatory and metabolic networks that have received experimental confirmation. Discovering Biomolecular Mechanisms with Computational Biology is essential reading for life science researchers and higher-level students that work on biomolecular mechanisms and wish to understand the impact of computational biology for their success. 0aMEDICINE. 0aMICROBIOLOGY.14aBIOMEDICINE.24aBIOMEDICINE GENERAL.24aMOLECULAR MEDICINE.24aMEDICAL MICROBIOLOGY.2 aSpringerLink (Online service)0 tSpringer eBooks08iPrinted edition:z9780387345277 0aMolecular Biology Intelligence Unit40uhttp://dx.doi.org/10.1007/0-387-36747-0zVer el texto completo en las instalaciones del CICY