Title: Fuzzy molecular automaton using splicing theory

Authors: Kumar Sankar Ray; Mandrita Mondal

Addresses: Indian Statistical Institute, Electronics and Communication Sciences Unit, Satyendra Nath Bose Bhavan, 10th floor, 203, B.T. Road, Kolkata-700108, India. ' Indian Statistical Institute, Electronics and Communication Sciences Unit, Satyendra Nath Bose Bhavan, 10th floor, 203, B.T. Road, Kolkata-700108, India

Abstract: In this paper, we have developed a Turing machine or a finite automaton, which scans the input data tape in form of DNA sequences and inspires the basic design of DNA computer. This model based on splicing system can solve fuzzy reasoning autonomously by using DNA sequences and human assisted protocols. Its hardware consists of class IIS restriction enzyme and T4 DNA ligase while the software consists of double stranded DNA sequences and transition molecules which are capable of encoding fuzzy rules. Upon mixing solutions containing these components, the automaton undergoes a cascade of cleaving and splicing cycles to produce the computational result in form of double stranded DNA sequence representing automaton's final state. In this work, we have fused the idea of splicing system with the automata theory to develop fuzzy molecular automaton in which 10¹⁸ processors can work in parallel, requires a trillion times less space for information storage, 10⁵ times faster than existing super computer and 10¹⁹ power operations can be performed using 1 Joule of energy.

Keywords: splicing models; Turing machine; DNA computing; fuzzy sets; fuzzy DNA; fuzzy molecular automaton; nanoscale computing; wet lab procedure; fuzzy logic; DNA sequences; nanotechnology.

DOI: 10.1504/IJBIC.2011.042258

International Journal of Bio-Inspired Computation, 2011 Vol.3 No.5, pp.320 - 330

Received: 28 Oct 2010
Accepted: 08 Jun 2011
Published online: 12 Nov 2014 *

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