Method of Retrieving Articles on Protein Structure Analysis from User Intention

Abstract

Abstract-In recent years, the number of articles that describe protein structure and function is increasing. Since the articles are written using polysemic and complex terminologies, however, such naive retrieval methods as full text search often fail to find appropriate articles. We propose a new method in which the structural and functional concepts of proteins are considered using Gene Ontology (GO) and other databases. In our proposed method, articles of interest are submitted as queries to solve the problem caused by the ambiguity of the terminologies, and then articles similar to the query article are retrieved. In addition, giving another article as an additional query article clarifies the user intention and improves retrieval accuracy. The effectiveness of our proposed method was confirmed by evaluating its accuracy through retrieval experiments, especially for retrieving new articles.

A method of searching for related literature on protein structure analysis by considering a user's intention

“…This makes it difficult to complete similarity calculations within a practical amount of time. Therefore, the computation time is reduced by filtering the search target articles using keywords that indicate function or sequence similarity and clearly excluding unrelated papers from the search target articles[ 18 ].…”