2007
Autores
Ferreira, PG; Silva, CG; Brito, RMM; Azevedo, PJ;
Publicação
2007 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology
Abstract
Understanding protein folding and unfolding mechanisms are a central problem in molecular biology. Data obtained from molecular dynamics unfolding simulations may provide valuable insights for a better understanding of these mechanisms. Here, we propose the application of an augmented version of hierarchical clustering analysis to detect clusters of amino-acid residues with similar behavior in protein unfolding simulations. These clusters hold similar global pattern behavior of solvent accessible surface area (SASA) variation in unfolding simulations of the protein Transthyretin (TTR). Classical hierarchical clustering was applied to build a dendrogram based on the SASA variation of each amino-acid residue. The dendrogram was enriched with background information on the amino-acid residues, enabling the extraction of sub-clusters with well differentiated characteristics.
2006
Autores
Ferreira, PG; Azevedo, PJ;
Publicação
XXI Simpósio Brasileiro de Banco de Dados, 16-20 de Outubro, Florianópolis, Santa Catarina, Brasil, Anais/Proceedings
Abstract
2009
Autores
Ferreira, PG; Azevedo, PJ;
Publicação
Database Technologies: Concepts, Methodologies, Tools, and Applications (4 Volumes)
Abstract
1994
Autores
Azevedo, PJdS; Sergot, MJ;
Publicação
Logic Programming, Proceedings of the Eleventh International Conference on Logic Programming, Santa Marherita Ligure, Italy, June 13-18, 1994
Abstract
1995
Autores
Azevedo, PJdS; Montesi, D;
Publicação
Deductive Databases and Logic Programming, Abduction in Deductive Databases and Knowledge-Based Systems, Proceedings of the ICLP'95 Joint Workshop, Shonan Village Center, Japan, June 17, 1995
Abstract
2005
Autores
Ferreira, PG; Alves, R; Azevedo, PJ; Belo, O;
Publicação
Actas de las X Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2005), September 14-16, 2005, Granada, Spain
Abstract
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