title: Text mining and visualisation of Protein-Protein Interactions.
abstract: The study of Protein-Protein Interactions (PPIs) is of great importance in determining the biological function and impact of proteins. However, the constant discovery of new PPIs makes it extremely time-consuming to manually extract information from new publications. In addition, it is necessary to view and simulate protein interactions in three dimensions. This paper presents a text mining and visualisation framework for finding details of PPIs that occur within a particular subcellular location. By obtaining the sequence of the amino acids at the interface of a protein interaction, one can obtain a deeper understanding about the function of the protein.
authors.affiliation: School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, Block S2, 639798, Singapore. fst1@columbia.edu
authors.forename: Flora S
authors.initials: FS
authors.lastname: Tsai
mesh_terms: D001499:Bayes Theorem; D019295:Computational Biology / Q000379:methods*; D003196:Computer Graphics; D057225:Data Mining / Q000379:methods*; D003628:Database Management Systems; D030562:Databases, Protein; D025941:Protein Interaction Mapping / Q000379:methods*; D039781:PubMed