Powering AI-Based Protein Engineering With Scalable Data
"Twist enables us by allowing routine synthesis of tens or hundreds of thousands fully defined sequences."
A-Alpha Bio
Wherever you are in model development, excellence begins with right DNA and protein tools.
Twist provides rapid, high-fidelity DNA synthesis alongside fast antibody production and characterization, giving you both the sequences and the protein-level data needed to advance your designs. This quick access to validated constructs and assay readouts support more iterations, more learning, and confidence in your results.
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"Twist enables us by allowing routine synthesis of tens or hundreds of thousands fully defined sequences."
A-Alpha Bio
Ryan Emerson, PhD
Senior Vice President, Data Science & Platform Solutions
With high-quality datasets, researchers can train and refine their AI models. Twist delivers the accuracy and consistency trusted by leading discovery teams, ensuring your training data, validation datasets, and experimental results all reflect the same quality standard.
Get unprecedented access to pooled dsDNA up to 1.8kb,
with 0% chimera rates.
Model success in silico often fails to translate to the laboratory environment. This is why wet lab validation is necessary. Twist enables the validation of your AI outputs whether you are screening thousands of new genes for trait discovery or characterizing antibody candidates.
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“Out of all the solutions we have tried, Twist’s oligos are the most faithful to our designs. We absolutely need this fidelity when we’re validating AI outputs.”
Colleen Drapek, PhD
Lead R&D Scientist, Trait Discovery
Let Twist develop your validation dataset for AI-driven discovery.
“The result was a much more efficient path to antibody optimization.”
Twist Biosciences
Colby Souders, PhD
Chief Scientific Officer,
Twist Bioscience
After AI/ML models downselects the design space and proposes an initial set of candidates, researchers must generate real-world wet-lab data to understand how those sequences actually perform. In silico screening can prioritize enzyme or antibody sequence variants, but only physical assays provide the ground-truth measurements needed to train, refine, or select AI-generated designs.
Discover broader sequence spaces and deeper antibody developability, function, and efficacy profiles delivered to your in bespoke formats to enable your LLM training.
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