title: Advances in text analytics for drug discovery.
abstract: The automated extraction of biological and chemical information has improved over the past year, with advances in access to content, entity extraction of genes, chemicals, kinetic data and relationships, and algorithms for generating and testing hypotheses. As the systems for reading and understanding scientific literature grow more powerful, so must the infrastructure in which to assemble information. Advances in infrastructure systems are discussed in this review. Research efforts have flourished as a result of text analytics competitions that attract participants from various disciplines, from computer science to bioinformatics.
authors.affiliation: Biogen Idec Inc, Information Services and Library, Research Informatics, 14 Cambridge Center, Cambridge, MA 02142, USA.
authors.forename: Phoebe M
authors.initials: PM
authors.lastname: Roberts
authors.forename: William S
authors.initials: WS
authors.lastname: Hayes
mesh_terms: D000818:Animals; D019295:Computational Biology; D015195:Drug Design; D006801:Humans; D016247:Information Storage and Retrieval; D009323:Natural Language Processing; D004364:Pharmaceutical Preparations; D021281:Quantitative Structure-Activity Relationship
chemical_list: D004364:Pharmaceutical Preparations