Clustering and artificial neural networks: classification of variable lengths of Helminth antigens in set of domains

Genetics and Molecular Biology

Thiago De Souza Rodrigues²  Lucila Grossi Gonçalves Pacífico¹  Santuza Maria Ribeiro Teixeira¹  Sérgio Costa Oliveira¹  Antônio De Pádua Braga² 

[1] ,Universidade Federal de Minas Gerais Departamento de Engenharia EletrônicaMinas Gerais ,Brazil

关键词: bioinformatics;    artificial neural networks;    clustering;    helminth antigen;    domain;   

DOI  :  10.1590/S1415-47572004000400032

来源: SciELO

【 摘 要 】

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.

【 授权许可】

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