PMID:17683642

Citation	Rodríguez-Penagos, C, Salgado, H, Martínez-Flores, I and Collado-Vides, J (2007) Automatic reconstruction of a bacterial regulatory network using Natural Language Processing. BMC Bioinformatics 8:293
Abstract	Manual curation of biological databases, an expensive and labor-intensive process, is essential for high quality integrated data. In this paper we report the implementation of a state-of-the-art Natural Language Processing system that creates computer-readable networks of regulatory interactions directly from different collections of abstracts and full-text papers. Our major aim is to understand how automatic annotation using Text-Mining techniques can complement manual curation of biological databases. We implemented a rule-based system to generate networks from different sets of documents dealing with regulation in Escherichia coli K-12.
Links	PubMed PMC1964768 Online version:10.1186/1471-2105-8-293
Keywords	Abstracting and Indexing as Topic/methods; Artificial Intelligence; Computer Simulation; Escherichia coli K12/metabolism; Escherichia coli Proteins/metabolism; Gene Expression Regulation/physiology; Information Storage and Retrieval/methods; Models, Biological; Natural Language Processing; Pattern Recognition, Automated/methods; Periodicals as Topic; Signal Transduction/physiology
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