Analysis on mannose-binding lectin as a treatment of helicobacter pylori by using data mining

As a critical role in overall human body reactions to foreign organisms, innate immune system, especially Mannose-binding lectin (MBL), has worked for the preservation of life. Since targeted therapy on bacterial infection using innate immune system has been researched for destroying pathogens without harming ourselves, MBL could be used for the targeted therapy. Based on three algorithms; Decision Tree Algorithm, Apriori Algorithm and Support Vector Machine, analysis on chemical bond formation by comparing the similarities between two proteins which have direct relevance with mannose could suggest the potential of utilizing proteins of MBL for targeting foreign factors. According to the results, Helicobacter pylori and Homo sapiens showed distinguishable features but indicated a few common factors. We could improve the targeting treatments by considering immunological approach using MBL; to analyze the possibility for forming chemical bond between human MBL and mannose of Helicobacter pylori.