Synthetic Biology >
What is synthetic biology?
Are you a biology innovator looking for an edge? A rapidly growing number of the world's leading biology innovators are using BiologIC's biocomputer platform to develop novel synthetic biology applications. Synbio is the interdisciplinary area where the worlds of technology and biology meet. By applying engineering principles to biology, synbio aims at the design and fabrication of biological components and systems that do not already exist in the natural world, giving us new capabilities to feed, fuel and heal in a sustainable and affordable way.
Since the sequencing of the first human genome in the early 2000s, the first wave of synbio, our ability to “read DNA”, has advanced at a pace that has outstripped even Moore’s Law.
A second wave of synbio followed, driven by new technologies such as CRISPR gene editing that gave us an ability to “write DNA”. Increasingly, we can more controllably design biological systems.
The third wave of synbio has seen us begin to “apply DNA”, for example in the discovery of highly effective precision medicines. However, it is widely known that these exquisite bioproducts are not readily accessible due to prohibitive costs and wide ranging manufacturing issues. The solution for population scale biology lies in BiologIC's Industry 4.0 architectures.
The fourth wave of synbio will be our ability to “scale DNA” – to apply our knowledge of reading, writing and applying DNA at an industrial scale that delivers genuinely global benefit for society.
This fourth wave has the potential to create billions of dollars of disruptive value in existing and new applications such as precision medicine, cell based agriculture, biofuels, new materials and decarbonisation. These promise major benefits to some of the most pressing needs of society including health, climate change and sustainability.
However, this growth is severely constrained by a “tyranny of numbers” from poorly integrated platforms. BiologIC's Industry 4.0 architectures unleash the power of biology in radically new applications at population scale.