Advances in Bioinformatics and Computational Biology: Third by Roberto T. Alves, Myriam R. Delgado, Alex A. Freitas

By Roberto T. Alves, Myriam R. Delgado, Alex A. Freitas (auth.), Ana L. C. Bazzan, Mark Craven, Natália F. Martins (eds.)

This e-book constitutes the refereed lawsuits of the 3rd Brazilian Symposium on Bioinformatics, BSB 2008, held in Sao Paulo, Brazil, in August 2008 - co-located with IWGD 2008, the overseas Workshop on Genomic Databases.

The 14 revised complete papers and five prolonged abstracts have been rigorously reviewed and chosen from forty-one submissions. The papers handle a wide variety of present issues in computational biology and bioinformatics that includes unique learn in laptop technological know-how, arithmetic and statistics in addition to in molecular biology, biochemistry, genetics, drugs, microbiology and different lifestyles sciences.

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Extra info for Advances in Bioinformatics and Computational Biology: Third Brazilian Symposium on Bioinformatics, BSB 2008, Santo André, Brazil, August 28-30, 2008. Proceedings

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Application to side-chain prediction. Journal of Molecular Biology 230(2), 543–574 (1993) 15. : A graph-theory algorithm for rapid protein side-chain prediction. Protein Science 12(9), 2001–2014 (2003) 16. : Stereochemical criteria for polypeptide and protein chain conformations: II. Allowed conformations for a pair of peptide units. Biophysical Journal 5(6), 909 (1965) 17. : An efficient clash detection method for molecular structures. Technical Report 21, INESC-ID (August 2007) Top-Down Hierarchical Ensembles of Classifiers for Predicting G-Protein-Coupled-Receptor Functions Eduardo P.

C. Bazzan, M. F. ): BSB 2008, LNBI 5167, pp. 23–34, 2008. F. L. Oliveira constrains, the protein structures are defined by the atomic interactions. Although the dihedral angles have optimal values they usually assume different values to allow for interactions between atoms. In the context of this work, a discrete state model is an all heavy atoms protein model that uses a discrete set for the possible values of the dihedral angles. The atomic bond lengths and angles are considered fixed at the optimal values.

When this obligation does not hold, the classification problem is an “optional leaf node prediction problem”. A simple approach to deal with a hierarchical classification problem consists of reducing it into one or more flat classification problems. This reduction is possible because a flat classification problem may be viewed as a particular case of hierarchical classification, in which there are no subclasses and superclasses. However, the main disadvantage of this approach is to ignore the hierarchical relationships among the classes, which can provide valuable information for the induction of a classification model.

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