RESUMO
Literature-based discovery (LBD) facilitates the extraction of hidden relationships between a disease and chemical substances. As a methodology of LBD, we had previously proposed to apply cluster analysis to analyze the intermediate concepts between them. In this study, we compared the ranks of chemical substances predicted by our methodology to the original rank so as to validate possibilities for extraction of the heterogeneity in the relationships. As a result, we obtained two clusters. The rank for one cluster was similar to the original rank (ρ=0.956), but another was different (ρ=0.580). The different features from the original rank were obtained on Pharmacological Action Terms of MeSH terms.
Assuntos
Análise por Conglomerados , Mineração de Dados/métodos , Bases de Dados de Produtos Farmacêuticos , Tratamento Farmacológico/classificação , Descoberta do Conhecimento/métodos , Processamento de Linguagem Natural , Vocabulário Controlado , Inteligência ArtificialRESUMO
The effect of the heat-dried product of Shochu distillery by-products (HSDB) derived from sweet potato on mammary carcinogenesis in rats was investigated. HSDB was fed at 2.5% or 5% of the total feed weight. Dietary HSDB at the 5% level suppressed the incidence and number of tumors, and delayed the latency of mammary tumor development relative to the control diet. Experiments were conducted to determine the relative polarity of the anticarcinogenic constituent(s). The number of tumors per tumor-bearing rat was lower in the diet group fed with an ethyl acetate extract of HSDB than in the control group. The tumor incidence evaluated at both palpation and autopsy was slightly lower in the group fed with a methanol extract than in the control group. These results suggest that HSDB contained at least two constituents of differing polarity that counteracted mammary carcinogenesis.
Assuntos
Resíduos Industriais/prevenção & controle , Ipomoea batatas/química , Neoplasias Mamárias Experimentais/tratamento farmacológico , Neoplasias Mamárias Experimentais/prevenção & controle , Extratos Vegetais/uso terapêutico , Animais , Benzo(a)Antracenos , Peso Corporal , Feminino , Neoplasias Mamárias Experimentais/induzido quimicamente , Tamanho do Órgão , Ratos , Ratos Sprague-Dawley , Carga Tumoral/efeitos dos fármacosRESUMO
This paper describes the use of a descriptor based on the number of alpha-carbon atoms within a sphere centered on the alpha-carbon in each amino acid residue in a protein. The descriptor can be used instead of the residue types in a dynamic programming algorithm, thus providing an efficient way of aligning protein structures. The method is applied to the alignment of protein families and to database searching. The results indicate that the method can quickly align protein sequences considering the 3D structure and can find proteins that are 3D structurally similar and dissimilar to the target protein.
