Using the iHOP information resource to mine the biomedical literature on genes, proteins, and chemical compounds.
The iHOP (Information Hyperlinked over Proteins) resource employs sophisticated text-mining methods to assist researchers in their quest for information on specific genes and proteins, their physical interactions and regulatory relationships, their relevance in pathologies, and their interactions with chemical compounds. iHOP parses thousands of PubMed documents every day and collects information specific to thousands of different biological molecules. Rather than providing long lists of entire abstracts upon keyword searches, iHOP selectively retrieves information that is specific to genes and proteins, and summarizes their interactions and functions. In iHOP, with genes and proteins acting as hyperlinks between sentences and abstracts, a large part of the PubMed knowledgebase becomes a giant navigable information network.
Hoffmann
Robert
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Massachusetts Institute of Technology, Cambridge, Massachusetts.
D003628:Database Management Systems; D030562:Databases, Protein; D005796:Genes; D016247:Information Storage and Retrieval; D009323:Natural Language Processing; D010506:Periodicals as Topic; D004364:Pharmaceutical Preparations; D011506:Proteins
D004364:Pharmaceutical Preparations; D011506:Proteins