Journal of Proteomics & Bioinformatics
Open Access

Sequence analysis on the information of folding nuclei in proteins with interesting 3D properties

6^th International Conference on Structural Biology

August 22-23, 2016 New Orleans, USA

Takeshi Kikuchi

Ritsumeikan University, Japan

Scientific Tracks Abstracts: J Proteomics Bioinform

Abstract :

Extracting 3D structural information from a protein amino acid sequence is one of the significant problems in molecular bioinformatics. In particular, information on protein folding mechanism must be able to be decoded from the sequence of a protein if all information of the 3D structure is included in it. However, extracting the information on protein folding from its sequence is very difficult and the only limited information can be obtained by standard bioinformatics techniques such as multiple sequence alignment or even more sophisticated techniques. Our recent studies have demonstrated that the analyses of protein sequences based on the inter residue average distance statistics with standard bioinformatics techniques and evolutionary analyses provide the information on protein folding nuclei. In the present study, we try to show the analyses of sequences of several protein families with specific 3D properties. We focus on the following properties; similar partial 3D structures beyond a super family, folding mechanisms of a 3D structure ubiquitously exists, folding mechanisms of proteins with very highly homologous sequences but different 3D structures. In the present work, we took E-to-H helix unit in globin family, beta-Trefoil protein family and immunoglobulin binding proteins related proteins. We use the average distance map method and F value analysis which predict the compact regions and highly contact residues along the sequence of a given protein. Such information provides significant parts for protein folding along the sequence and also we compare such segments with the conservative hydrophobic residues and then we try to deduce the folding mechanism of a protein. In this way, we analyze the proteins in the categories above. We will present the possible folding mechanisms of these proteins based on the present analyses.

Biography :

Takeshi Kikuchi has completed his PhD from Osaka City University and Postdoctoral studies from Cornell University. Presently, he is a Professor of Department of Bioinformatics in Ritsumeikan University. He is interested in developing a new technique to predict 3D structural properties of a protein.

Email: tkikuchi@sk.ritsumei.ac.jp