Data/hora: 12/06/2024 02:18:57

Provedor de dados: 	74	
País: 	Brazil	
Título: 	Clustering and artificial neural networks: classification of variable lengths of Helminth antigens in set of domains	
Autores: 	Rodrigues,Thiago de Souza; Pacífico,Lucila Grossi Gonçalves; Teixeira,Santuza Maria Ribeiro; Oliveira,Sérgio Costa; Braga,Antônio de Pádua.	
Data: 	2004-01-01	
Ano: 	2004	
Palavras-chave: 	Bioinformatics; Artificial neural networks; Clustering; Helminth antigen; Domain.	
Resumo: 	A new scheme for representing proteins of different lengths in number of amino acids that can be presented to a fixed number of inputs Artificial Neural Networks (ANNs) speel-out classification is described. K-Means's clustering of the new vectors with subsequent classification was then possible with the dimension reduction technique Principal Component Analysis applied previously. The new representation scheme was applied to a set of 112 antigens sequences from several parasitic helminths, selected in the National Center for Biotechnology Information and classified into fourth different groups. This bioinformatic tool permitted the establishment of a good correlation with domains that are already well characterized, regardless of the differences between the sequences that were confirmed by the PFAM database. Additionally, sequences were grouped according to their similarity, confirmed by hierarchical clustering using ClustalW.	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572004000400032	
Editor: 	Sociedade Brasileira de Genética	
Relação: 	10.1590/S1415-47572004000400032	
Formato: 	text/html	
Fonte: 	Genetics and Molecular Biology  v.27 n.4 2004	
Fonte: 	info:eu-repo/semantics/openAccess