Journal of Biotechnology & Biomaterials
Open Access

Abstract

This study aims at introducing a classifier named as AIS-MACAX (Artificial Immune System Based Multiple Attractor Cellular Automata) which can address major problems in bioinformatics. The proposed classifier can predict the protein coding regions from a given DNA sequence and promoters in eukaryotes. It can also predict the secondary and quaternary structure of protein. All this three problems are interrelated. If a DNA sequence has a promoter there is a chance of transcription. If the same sequence have protein coding regions it can possibly undergo translation phase to form protein. So understating and analyzing all these problems is the greater concern of Bioinformatics. This classifier AIS-MACAX can handle large data sets for training and testing. The average accuracy of prediction of protein structure, protein coding region and promoter are 78%, 84% and 89% respectively. This AIS-MACAX will work in an automated procedure and surely lay an important mile stone in the field of Bioinformatics.

Biography

Pokkuluri Kiran Sree received his BTech in Computer Science & Engineering, from J.N.T.U and ME in Computer Science & Engineering from Anna University. He is pursuing PhD in Computer Science from J.N.T.U, Hyderabad. His areas of interests include Cellular Automata, Parallel Algorithms, Artificial Intelligence, and Compiler Design. He was the reviewer for many International Journals and IEEE Society Conferences on Artificial Intelligence & Image Processing. His bibliography was listed in Marquis Who?s Who in the World, 29th Edition (2012), USA. He is the recipient of Bharat Excellence Award from Dr GV Krishna Murthy, Former Election Commissioner of India.He received Active Reviewer Award for International Journal of Information Technology. He is also selected for Glory of Education Excellence Award 2012.He is the Board of Studies member of VikramaSimhapuri University, Nellore in Computer Science & Engineering stream.