Phytoform Labs harnessed its AI-powered CRE.AI.TIVE platform to develop climate-resilient crops, with a focus on drought-tolerant tomatoes. By rapidly exploring millions of potential sequence edits, the platform identified 2,000 high-potential candidates for wet-lab validation.

To overcome the challenge of synthesizing complex, AT-rich sequences with homopolymers, the team partnered with Twist Bioscience. Twist’s high-fidelity oligos ensured accurate transfer of AI-designed sequences to the lab, enabling efficient MPRA screening in tomato protoplasts.

This AI-guided workflow validated predictions while streamlining experiments—reducing waste, saving resources, and ensuring only the most promising variants progressed to in vivo testing.

Case Study Highlights

1. AI-driven design of millions of sequence variants

2. Efficient identification of high-impact edits, conserving time and resources

3. Ensuring fidelity of AI-generated oligos for complex plant sequences

4. Insights on impact and future directions