Classification of DNA Structure through Structure Network Analysis

摘要

Function and regulation of DNA molecules are entirely dependent on the interaction of DNA molecules with other molecules. In this process, DNA structure plays an important role. The increasing number of experimentally determined DNA structures and increasing computing capacity make it possible to look deeper into DNA structure. Graph theory based interaction network analysis has been used in understanding interaction network among proteins as well as between DNA and proteins. Here, for the first time we use graph network analysis to distinguish different double helical polymorphic form of DNA. The sequence dependent feature of DNA structure is also captured through this analysis. Part of the study involves the development of certain discriminating parameters which can help differentiate between different DNA forms. The second part of the study focuses on understanding the highly connected residues (hubs) in different DNA structures. This analysis help us gaining useful insights in the particular role of specific DNA sequence in genome and can throw light on DNA reactivity.