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

Abstract

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 neighbour genes can be derived easily using relative abundance of their expression levels. However, it is still unexplored fact that whether any hub and its neighbour genes within a subnetwork exhibits 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 gives a holistic view of the interrelationships existing between hub genes and neighbour genes in few selective AD subnetworks. We define a mapping model from physicochemical properties of DNA sequence to chemical characterization of amino acid sequences. We use 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 neighbour genes chemically in the subnetworks. Interestingly, our preliminary results confirm the fact the dependent genes that are coexpressed with its hub gene are also having proximity with respect to their amino acid chemical group distributions.

Chemical characterizations of neurotransmission receptors of human and plant to unfold the evolutionary relationships among them

“…Numerical representation of genomic sequences based on some predefined biological facts or properties simplifies the process of quantitative analysis of them [3,35,36]. In this subsection the amino acids of each protein sequences are converted into their corresponding group number of the chemical properties as specified in table 2.…”