SYNTHETIC BIOLOGY: METHODS, APPLICATIONS, AND THE ROLE OF INFORMATION SCIENCE

Abstract

Synthetic biology is the design and construction of novel proteins, genetic circuits, and metabolic networks using information from a variety of disciplines, including molecular biology, engineering, mathematics, and physics. In unicellular and multicellular systems, we are currently heading toward the construction of complex networks rather than the early development stages' goal of changing the behaviour of individual constituents. Synthetic biologists can be broadly divided into two groups, one of which seeks to produce artificial life using unnatural substances. Another instance involves taking replaceable components from biological systems and integrating them into systems that function in an artificial way. Innovative behaviours like biostability, oscillations, proteins for biosensing, and drug production have recently been developed. Biological principles and informatics are a commonly accepted combination to make processing more accurate and faster. In this paper we give a deeper insight into the synthetic biology methods, few of its applications and also the discussing various bioinformatics tools for synthetic biology.