Genes
Oligo Pools
NGS
Variant Libraries
Synthetic Controls
Antibody Discovery
IVDR Solutions
Webinar
Technical Note
Twist Bioscience HQ
681 Gateway Blvd
South San Francisco, CA 94080
A CRE.AI.TIVE application of AI: Engineering a more resilient global food supply
Using oligo pools, Phytoform Labs screened thousands of AI-designed DNA sequences—streamlining trait engineering, accelerating crop improvement, and optimizing R&D resources
Phytoform Labs leveraged its AI-powered CRE.AI.TIVE platform to engineer climate-resilient crops, focusing on drought-resistant tomatoes. The platform enabled rapid exploration of target sequence space, predicting the effects of millions of edits and guiding the selection of 2,000 high-potential candidates for wet-lab validation.
Faced with the challenge of synthesizing complex, AT-rich sequences containing homopolymers, the team turned to Twist Bioscience. Twist’s high-fidelity oligos made it possible to faithfully transfer these AI-designed sequences to the lab for MPRA screening in tomato protoplasts.
This approach not only validated AI predictions but also streamlined the experimental workflow; reducing waste, conserving resources, and ensuring that only the most promising variants advance to in vivo testing.
Covered in this Case Study
Overview of AI-driven design of millions of sequence variants
A streamlined approach to identify high-impact edits while conserving time and resources
Ensuring fidelity of AI-generated oligos for complex, plant-specific sequences
Discussion impact and future directions
Results are specific to the institution where they were obtained and may not reflect the results
achievable at other institutions.
For research use only, not for use in diagnostic procedures.
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