Boehringer Ingelheim (BI), a pharmaceutical company with an emphasis on targeted disease treatment, heavily relies on specific gene research to improve treatment and prevention therapies for patients. In a continuously expanding scientific library with rapidly growing and updating gene research, the present challenge is developing a solution toward streamlining the ability to locate research on a specific gene. With a pre-existing database of important genes, the MeSH Mining challenge is aims to parse through a large database to obtain published information for any requested gene through a set of scientific literature. The library of literature is obtained through Medical Subject Headings (MeSH), a controlled ontology that annotates published PubMed and Medline articles. The goal of the MeSH Mining software is to allow end users to perform queries on a significant dataset of Gene IDs and MeSH terms. In doing so, searches will redirect end users to a shortlisted selection of Gene IDs, MeSH terms, and relevant references linked to PubMed articles based on the query criteria. The MeSH Mining software is intended for employees at BI to locate information about genes and MeSH terms by streamlining the search in an existing database which originally had no such functionality. This both optimizes gene search methodologies for end users and promotes the necessary efficiency toward finding targeted solutions for existing healthcare concerns.