Evolutionary Computation in Gene Regulatory Network Research

CHAPTER 11EVOLVING GRN-INSPIRED IN VITRO OSCILLATORY SYSTEMS

Quang Huy Dinh

Department of Information and Communication Engineering, Graduate School ofInformation Science and Technology, The University of Tokyo, Bunkyo, Tokyo, Japan

Nathanael Aubert

Department of Information Science, Ochanomizu University, Bunkyo, Tokyo, Japan

Nasimul Noman

School of Electrical Engineering and Computer Science, Faculty of Engineering andBuilt Environment, The University of Newcastle, Newcastle, New South Wales, Australia

Hitoshi Iba

Department of Information and Communication Engineering, Graduate School ofInformation Science and Technology, The University of Tokyo, Bunkyo, Tokyo, Japan

Yannic Rondelez

LIMMS/CNRSIIS, Institute of Industrial Science, The University of Tokyo,Meguro, Tokyo, Japan

11.1 INTRODUCTION

In a living organism, DNA works as the instruction manual to delineate its physical characteristics and behaviors. Genes and their products, proteins, form a unique framework to put the blueprint inscribed in DNA into effect. The interactions among genes in the form of proteins, commonly known as gene regulatory networks (GRN), provide precise and timely processing of information to ensure seamless progress in life. The specificity, versatility, and, above all, programmability of these molecular machines offer the potential to function as a powerful tool to synthesize new chemical systems that can have radical effects in different spheres of our life. Today, the programmability of these ...