Computational analysis of the intermolecular interaction driving the self-assembly of collagen

6^th International Conference on Bioinformatics & Systems Biology

August 22-23, 2016 Philadelphia, USA

Esma Eryilmaz

Selcuk University College of Science, Turkey

Posters & Accepted Abstracts: J Comput Sci Syst Biol

Abstract :

Collagen self-assembly is an important phenomena generating the biological alloy ECM and the structural/ functional diversity of different tissue types. We explored that how the amino acid sequence determines structure resulted from the self-assembly. Studies investigating the collagen intermolecular interactions are mostly based on the experimental host-guest peptides representing small part of collagen alpha chain and their pairwise interaction. By the combination of given protein primary structures and the programming language Python, we investigated the three main types of interaction including hydrophobic, polar, and electrostatic between molecules by taking the physicochemical properties of side chains in a certain range. D-periodic staggered arrangement of collagen molecules in fibrils is clarified by taking the amino acid sequence and calculating the corresponding interaction sliding one molecule to another. Our amino acid based computational analysis provides a wide range of application to investigate the sequence effect on the structure and to understand the characterization of interactions and stabilization of other fibrillar macromolecules.

Biography :

Email: esma@tamu.edu