A contact map matching approach to protein structure similarity analysis
Genet. mol. res. (Online)
;
5(2): 284-308, 2006. tab, graf, ilus
Artigo
em Inglês
| LILACS
| ID: lil-442569
ABSTRACT
We modeled the problem of identifying how close two proteins are structurally by measuring the dissimilarity of their contact maps. These contact maps are colored images, in which the chromatic information encodes the chemical nature of the contacts. We studied two conceptually distinct image-processing algorithms to measure the dissimilarity between these contact maps; one was a content-based image retrieval method, and the other was based on image registration. In experiments with contact maps constructed from the protein data bank, our approach was able to identify, with greater than 80% precision, instances of monomers of apolipoproteins, globins, plastocyanins, retinol binding proteins and thioredoxins, among the monomers of Protein Data Bank Select. The image registration approach was only slightly more accurate than the content-based image retrieval approach.
Texto completo:
DisponíveL
Índice:
LILACS (Américas)
Assunto principal:
Conformação Proteica
/
Algoritmos
/
Simulação por Computador
/
Proteínas
/
Alinhamento de Sequência
/
Modelos Químicos
Idioma:
Inglês
Revista:
Genet. mol. res. (Online)
Assunto da revista:
Biologia Molecular
/
Genética
Ano de publicação:
2006
Tipo de documento:
Artigo
País de afiliação:
Brasil
Instituição/País de afiliação:
UFMG/BR
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