In this study, a mining system is proposed for ﬁnding protein–protein interaction literatures from the databases on the Internet. In this system, we ﬁnd out discriminating words for protein–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–protein interactions. In addition, a keypage-based search mechanism is used to ﬁnd related papers for protein–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 out protein–protein literatures from the overwhelming piece of information available on the biomedical databases on the Internet.