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Concept-based annotation of enzyme classes
Motivation: Given the explosive growth of biomedical data as well as the literature describing results and findings, it is getting increasingly difficult to keep up to date with new information. Keeping databases synchronized with current knowledge is a time-consuming and expensive task-one which can be alleviated by automatically gathering findings from the literature using linguistic approaches. We describe a method to automatically annotate enzyme classes with disease-related informationdoi:10.1093/bioinformatics/bti284 pmid:15661799 fatcat:zx5bunzib5d2nnjdoselc7poce