ABSTRACT
ABSTRACT: In this study, we tried to find rules between mRNA sequences of Homo sapiens histamine receptors H1, H2, H3 and H4 with data mining algorithms, namely Apriori and Decision tree. In the Apriori algorithm, we split sequences into 5, 7 and 9 windows. The results showed a strong relationship between the H1 and H4 receptors, and also between the H2 and H3 receptors. The receptors were divided into two groups according to their components. Additionally, we would leave relevancy between the H2 and H3 receptors for another study with a different data mining algorithm. In the case of the H1 and H4 receptors, we found that amino acid “F(phenylalanine)” would be a standard to classify the H1 and H4 receptors. We suggest that H4 could be a mutated form of H1. To support our hypothesis, we conducted an additional experiment with the Decision Tree algorithm, focusing on the existence of amino acid “F”. The data showed the difference between the H1 and H4 receptors. In conclusion, the H4 and H1 receptors are related to each other by mutation.
