Introduction:
Computer-aided design tools have been widely used in industries like aerospace and electronics to design and optimize performance. However, there have been few comparable tools for biotechnology. This is due to the complexity of biology, which requires a thorough understanding of biological and physical mechanisms at various scales. Asimov is developing computer-aided design tools that allow for the prediction and optimization of genetic designs and bioprocesses for the production of biotherapeutics.
- The complexity of biology has led to a lack of computational tools for biotechnology.
- Computer-aided design tools developed by Asimov can predict and optimize genetic designs and bioprocesses.
- These tools combine genetic design models with data- and physics-based models of bioreactors and bioprocesses.
- Asimov’s holistic approach to genetic and bioprocess design has led to significant improvements in antibody titers.
- Asimov’s tools incorporate mechanistic, data-driven machine learning, and hybrid models to predict process performance.
Conclusion:
Asimov’s computer-aided design tools have the potential to revolutionize the biotechnology industry by enabling the design and manufacture of new biotherapeutics. By combining genetic design models with bioprocess models, these tools allow for the simultaneous optimization of both components, leading to improved performance and reduced development timelines. The democratization of these tools through Asimov’s web-based Kernel software platform will further accelerate innovation in the field of biotechnology.
