Web Mining for Protein-to-Protein Interaction Information

Abstract

This study proposes a mining system for finding protein-to-protein interaction literatures from the databases on the Internet. In this system, we search for discriminating words for protein-to-protein interaction by way of statistics and the results from literatures. A threshold is also evaluated to check if a given literature is related to protein-to-protein interactions. In addition, a keypage-based search mechanism is used to find related papers for protein-to-protein interactions from a given document. To expand the search space and ensure better performance of the system, mechanisms for protein name identification and databases for protein names are also developed. The system is designed with a web-based user interface and a job-dispatching kernel. Experiments are conducted and the results have been checked by a biomedical expert. The experimental results indicate that by using the proposed mining system, it is helpful for researchers to find protein-to-protein literatures from the overwhelming pieces of information available on the biomedical databases over the Internet.