A graphic tool for curating molecular interaction networks from the literature.
We propose a graphic tool for curating molecular interaction networks constructed from the literature by information extraction (IE). In order to turn preliminary results from IE into useful biomedical resources, we propose to use a controlled environment in which visualization and IE work synergistically. The usability of the proposed graphic tool is shown with respect to the identification of incorrectly extracted results that are due to the much troubling coordination phenomena in natural language texts. Through the experiment on molecular interactions in Saccaharomyces cerevisiae, we have seen a meaningful increase (from 91.5% to 97.5%) in the number of correctly extracted interaction information.
Lee
Changsu
C
Computer Science Division and Advanced IT Research Center, KAIST, 373-1 Guseong-dong, Yuseong-gu, Daejeon 305-701, South Korea.
Park
Jinah
J
Park
Jong C
JC
D019295:Computational Biology; D003196:Computer Graphics; D003198:Computer Simulation; D008958:Models, Molecular; D046912:Multiprotein Complexes; D009323:Natural Language Processing; D029701:Saccharomyces cerevisiae Proteins / Q000737:chemistry / Q000378:metabolism
D046912:Multiprotein Complexes; D029701:Saccharomyces cerevisiae Proteins