Data-Driven Molecular Design
The Data-Driven Molecular Design (DDMD) theme is developing tools that greatly reduce the time and resource requirements for the development of new biotechnological solutions.
This theme will draw upon existing CSIRO capability, such as machine learning and artificial intelligence, and quantum biology. It will also utilise world-class CSIRO national facilities, including the Pawsey Supercomputing Research Centre and the CSIRO BioFoundry.
Example projects include:
- Engineering tuneable systems for exporting molecules out of microbial cells to reduce downstream processing costs in fermentation
- Building accurate designs for novel microbial production organisms that make food protein, medicines or enzymes that clean up the environment
- Designing new biosensors for disease marker, pathogenic microorganisms, or pollutants.
New tools developed through the DDMD theme will be built through a learning-by-doing paradigm. That is, by targeting specific molecules and bioprocesses with a view to exploiting a much broader application of the workflows once established.
The DDMD theme will develop novel approaches to currently intractable problems, as well as tackle current bottlenecks in biological design.
Accelerating carbon biomineralisation in seawater to help reduce atmospheric carbon dioxide
Co-funded by AEB and CarbonLock FSPs, this project looks at mimicking natural processes to speed-up carbon capture.
Using neural networks to design biosensors
High-throughput and automated biosensor design using artificial intelligence and machine learning.