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Metabolism is the set of chemical reactions that occur in living organisms in order to maintain life, and a genome-scale metabolic network can be reconstructed by identifying, categorizing and interconnecting all the genes, proteins, reactions and metabolites that participate in the metabolic activity of a biological system to form a metabolic network. Enzymes play a very important part in metabolism,...
Recent high-throughput (HTP) technology has accumulated a large amount of protein-protein interaction (PPI) data. However, these data are laden with high false positive and false negative rate. Here we combine genomic data and topological metrics to eliminate false positive high-throughput PPIs, and utilize other genomic information that is not integrated in the previous stage to justify the outcome...
Protein-protein interactions play key role in many fundamental biological processes, and comprehensively identifying them represents a crucial step towards systematically defining their cellular roles. Machine learning techniques have been employed to predict protein-protein interactions. One of such approaches is Naive Bayes approach which assumes conditional independence between features. And such...
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