Designing and Engineering of Biological Systems using Computational Tools
Journal Title: International Journal of engineering Research and Applications - Year 2018, Vol 8, Issue 1
Abstract
The highly complex biological nanocomputers in living cells involve integration of multiple inputs, performing computations on these signals, storing the information in memory and responding to the environment. Computational tools and techniques have been developed for modification and designing of the DNA, RNA and proteins. Diverse paradigms have emerged for designing, modeling, constructing and characterizing of artificial genetic systems. By utilization of biological databases and computational tools, synthetic biologists have constructed novel genetic circuits through rational design and forward engineering that enable living systems to sense their dynamic environments, perform computation on the inputs and formulate appropriate outputs. Synthetic feedback loops or embedded biosensors can also be used as built-in control mechanisms for monitoring or triggering the cellular processes. Engineered living cells have the potential to perform a wide range of desirable tasks for biological applications in biotechnology, biomedical engineering and basic biology studies. Ultimately, the use of different computational tools and optimal integration of digital logic, analog computation as well as memory circuits will enable powerful next generation genetic circuits to drive innovation in the field of genome designing, cellular functions and synthetic biology. This paper focuses on computational tools and softwares used in metabolic engineering and synthetic biology for designing of genomes, microbial strains and cellular functions.
Authors and Affiliations
Divya Sindhu, Saurabh Sindhu
Keywords
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- EP ID EP393410
- DOI 10.9790/9622-0801033442.
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