"What I cannot create, I do not understand." -Richard FeynmanOrganisms are complex systems that run massively parallel and interactive molecular processes. From an H-atom to the whole cell, cells manage information over at least six orders of magnitude in size. To understand a system that integrates contextual, temporal and spatial complexity by default, calls for innovative and massive data gathering efforts. Data gathered over the last two decades has revealed a huge inventory of molecular parts and contextual interactions. Still a good understanding of biology is lacking.In the early 2000, people asked: can one assemble biological systems from scratch from a standard inventory of parts, instead of relying upon the naturally evolved systems. One of the key foundational papers that hinted towards engineering approach to biology, was a three gene circuit called repressilator that was plugged into E.coli 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.