By Roberto T. Alves, Myriam R. Delgado, Alex A. Freitas (auth.), Ana L. C. Bazzan, Mark Craven, Natália F. Martins (eds.)
This publication 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 foreign Workshop on Genomic Databases.
The 14 revised complete papers and five prolonged abstracts have been conscientiously reviewed and chosen from forty-one submissions. The papers tackle a wide variety of present issues in computational biology and bioinformatics that includes unique study in laptop technology, arithmetic and statistics in addition to in molecular biology, biochemistry, genetics, medication, microbiology and different lifestyles sciences.
Read Online or Download Advances in Bioinformatics and Computational Biology: Third Brazilian Symposium on Bioinformatics, BSB 2008, Santo André, Brazil, August 28-30, 2008. Proceedings PDF
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Additional resources for Advances in Bioinformatics and Computational Biology: Third Brazilian Symposium on Bioinformatics, BSB 2008, Santo André, Brazil, August 28-30, 2008. Proceedings
Accuracy of sidechain prediction upon near-native protein backbones generated by ab initio folding methods. Proteins Structure Function and Genetics 33(2), 204–217 (1998) 9. : The Stability of Monomeric Intermediates Controls Amyloid Formation: A β 25-35 and its N27Q Mutant. Biophysical Journal 90(10), 3365–3374 (2006) 10. : Ab initio construction of polypeptide fragments: Eﬃcient generation of accurate, representative ensembles. Proteins Structure Function and Genetics 51(1), 41–55 (2003) 11.
In datasets Pfam and Prints the predictive performances were close in the ﬁrst layer, but this diﬀerence raises for the other levels. The worst results were obtained in Prosite dataset, except from its last level. P. Costa et al. Conclusions In this paper, we presented a comparative study of six hierarchical classiﬁcation algorithms for diﬀerent kinds of protein signatures - Prosite, Pfam and Prints. 5, RIPPER, SVMs, KNN and BayesNet. The results from these algorithms were compared with the results of an algorithm based on a variation of the Top-Down approach named Top-Down Ensembles approach, which combines results from classiﬁers induced by the ﬁve ML techniques previously mentioned.
Carvalho1 , and Alex A. Freitas3 3 1 Depto. uk Abstract. Despite the recent advances in Molecular Biology, the function of a large amount of proteins is still unknown. An approach that can be used in the prediction of a protein function consists of searching against secondary databases, also known as signature databases. Diﬀerent strategies can be applied to use protein signatures in the prediction of function of proteins. A sophisticated approach consists of inducing a classiﬁcation model for this prediction.