What is it?
Generative biology combines principles from synthetic biology, computer science, and engineering to design and engineer biological systems using computational methods and automated workflows. It aims to streamline the process of designing, building, and testing new biological systems or modifying existing ones.
Why is it important?
By leveraging computational tools and automation, generative biology can significantly speed up the process of designing and engineering biological systems, enabling faster exploration of potential solutions and applications. Generative biology allows for the design and construction of complex biological systems with multiple components and functionalities, which would be challenging or impossible to achieve through traditional manual methods. Computational models and simulations used in generative biology can provide insights into the behavior and performance of engineered biological systems, enabling more accurate predictions and optimizations. Automated workflows and computational tools used in generative biology can enhance the reproducibility and standardization of biological engineering processes, promoting consistency and reliability in research and applications.
What industries will it impact?
Healthcare and pharmaceuticals, Agriculture and food production, Energy and biofuels, Environmental applications, Industrial biotechnology, Materials science.
Market players
Absci, BigHat Biosciences, BioAge Labs, Bioptimus, Cradle, Deepcell, Evozyne, Generate:Biomedicines, Iambic Therapeutics, Insilico Medicine, Leash Biosciences, Model Medicines, Noetik, Profluent Bio, Terray Therapeutics, Xaira and Yoneda Labs