A Framework of Protein-Drug Association for Malaria by Text Data Mining of Biomedical Literature

The protein-drug association, the finding of the important relationship between diseases related proteins and drugs, provides useful information for the discovery of new drugs. In this paper,.we first time propose a new framework to find an association of, protein-drug for human malaria parasite Plasmodium falop arum using text data mining approaches. The framework begins with three phases of text data mining: (1) data collection from MEDLINE, UniprotKB and MeSH databases; (2) data pre-processing such as tokenization, stop word removal and stemming; (3) data analysis to retrieve actual information and extract useful information. Finally, regularized log-odds function is used to create an association matrix between Plasmodium fakiparum proteins and their drug terms. The proposed framework could be useful for a new drug candidate discovery for malaria.