id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-000536-0mn1gbll	Hu, Le-Le	Predicting Biological Functions of Compounds Based on Chemical-Chemical Interactions	2011-12-29		.txt	text/plain	5134	265	48	In this study, based on the information of chemical-chemical interactions, a novel method was developed that can be used to identify which of the following eleven metabolic pathway classes a query compound may be involved with: (1) Carbohydrate Metabolism, (2) Energy Metabolism, (3) Lipid Metabolism, (4) Nucleotide Metabolism, (5) Amino Acid Metabolism, (6) Metabolism of Other Amino Acids, (7) Glycan Biosynthesis and Metabolism, (8) Metabolism of Cofactors and Vitamins, (9) Metabolism of Terpenoids and Polyketides, (10) Biosynthesis of Other Secondary Metabolites, (11) Xenobiotics Biodegradation and Metabolism. In this study, we proposed a multi-target model based on chemical-chemical interactions for predicting the metabolic pathways where compounds participate in. Listed in Table 2 are the accuracies by each of the 11 prediction orders for the 3,137 compounds about their involvement in the 11 metabolic pathway classes using the 5-fold crossvalidation test.	./cache/cord-000536-0mn1gbll.txt	./txt/cord-000536-0mn1gbll.txt