Automatic extraction of biological information from scientific text: protein-protein interactions.
We describe the basic design of a system for automatic detection of protein-protein interactions extracted from scientific abstracts. By restricting the problem domain and imposing a number of strong assumptions which include pre-specified protein names and a limited set of verbs that represent actions, we show that it is possible to perform accurate information extraction. The performance of the system is evaluated with different cases of real-world interaction networks, including the Drosophila cell cycle control. The results obtained computationally are in good agreement with current biological knowledge and demonstrate the feasibility of developing a fully automated system able to describe networks of protein interactions with sufficient accuracy.
Blaschke
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C
Protein Design Group, CNB-CSIC, Madrid, Spain.
Andrade
M A
MA
Ouzounis
C
C
Valencia
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A
D000465:Algorithms; D000818:Animals; D001185:Artificial Intelligence; D001331:Automation / Q000379:methods*; D002453:Cell Cycle; D004330:Drosophila / Q000737:chemistry; D016239:MEDLINE; D010506:Periodicals as Topic / Q000639:trends; D011485:Protein Binding; D011506:Proteins / Q000737:chemistry*; D013223:Statistics as Topic / Q000379:methods*
D011506:Proteins