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. 2017:1526:139-158.
doi: 10.1007/978-1-4939-6613-4_8.

Metabolic Pathway Mining

Affiliations

Metabolic Pathway Mining

Jan M Czarnecki et al. Methods Mol Biol. 2017.

Abstract

Understanding metabolic pathways is one of the most important fields in bioscience in the post-genomic era, but curating metabolic pathways requires considerable man-power. As such there is a lack of reliable, experimentally verified metabolic pathways in databases and databases are forced to predict all but the most immediately useful pathways.Text-mining has the potential to solve this problem, but while sophisticated text-mining methods have been developed to assist the curation of many types of biomedical networks, such as protein-protein interaction networks, the mining of metabolic pathways from the literature has been largely neglected by the text-mining community. In this chapter we describe a pipeline for the extraction of metabolic pathways built on freely available open-source components and a heuristic metabolic reaction extraction algorithm.

Keywords: Information extraction; Metabolic interaction extraction; Metabolic pathway; Named entity recognition; Natural language processing; Text-mining.

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