Chemical Characterization of Interacting Genes in Few Subnetworks of Alzheimer’s Disease

A number of genes have been identified as a key player in Alzheimer’s Disease (AD). Topological analysis of co-expression network reveals that key genes are mostly central or hub genes. The association between a hub gene and its neighbor genes can be derived easily using a relative abundance of their expression levels. However, it is still an unexplored fact that whether any hub and its neighbor genes within a subnetwork exhibit any kind of proximity with respect to their chemical properties of the DNA sequences or not, that code for a sequence of amino acids. In this work, we try to make a quantitative investigation of the underlying biological facts in DNA sequential and primary protein level in mathematical paradigm. It may give a holistic view of the interrelationships existing between hub genes and neighbor genes in a few selective AD subnetworks. We define a mapping model from physicochemical properties of DNA sequence to chemical characterization of amino acid sequences. We use a distribution of chemical groups present in a sequence after decoding into corresponding amino acids to investigate the fact that whether any hub genes are associated closely with its neighbor genes chemically in the subnetworks. Interestingly, our preliminary results confirm the fact that dependent genes that are co-expressed with its hub gene also exhibit a certain degree of proximity with respect to their amino acid chemical group distributions.