Breeding a pathogen-resistant crop takes about a decade, and brings unwanted mutations along with it. A folding model can now predict potential effector-receptor interactions and guide mutagenesis. But every candidate and variant must still be synthesized.
This case study documents how one biotechnology team modeled candidate plant receptors and screened resistant variants inside a single year. Ordering the genes at screening volumes supported that pace, with sequences accurate enough that positive results trace to engineered mutations and not synthesis errors.
Download the case study to learn
- How a plant-trained folding model predicts which mutations restore pathogen recognition
- Which synthesis format suits all-versus-all screening and which suits targeted mutagenesis
- What sequence-verifying every construct costs once a screen runs at full scale
