Titlebook: Systems and Synthetic Biology; Vikram Singh,Pawan K. Dhar Book 2015 Springer Science+Business Media Dordrecht 2015 Biological Networks.Bio

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Introduction to Systems Biologyological outcome (b) new experimental and mathematical methods important to study group behavior of interacting components. This chapter describes the origin and evolution of systems biology, as a formal discipline, steps and challenges in building models and their potential applications.

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Systems Biology of MicroRNAm is the need of the hour. In this review we discuss the biogenesis of microRNAs, what qualifies anmiRNA, biological roles of miRNA, methods to predict a mature miRNA and miRNA targets and a systems biology approach to the microRNA regulatory network in humans.

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A Brief Introduction to Synthetic Biologyards engineering approach to biology, was a three gene circuit called repressilator that was plugged into . as a non-native applet and stably expressed (Elowitz and Leibler, Nature 403:335–338, 2000). This paper accelerated the thought process that we now know as synthetic biology.

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Hill Equation in Modeling Transcriptional Regulationthe Michaelis- Menten Kinetics is illustrated to provide a background picture. The chapter sketches out the modeling of the gene input functions in transcriptional regulatory network based on the actions of transcription factors. The feasibilities and limitations of Hill equation for modeling the tr

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Molecular ModelingThe role of these non-bonded interactions which determines the biological structure and functions is described. Thus, the current chapter provides a brief overview of computational methods applied to biomolecules.