Machine Learning for Guided Fluorescent Protein Evolution
Machine Learning for Guided Fluorescent Protein Evolution
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Supervised Learning from Large Mutational Datasets
Supervised Learning from Large Mutational Datasets
Regressors can Transform Complex Sequence Data into Useful and Predictive Information that Facilitate Wet-Bench Workflows.
Deep Mutation of Sequences Reveals Sites for Adjusting Key Parameters.
Predict Mutations for Brightness
Predict Mutations for Brightness
Predict Mutations for Excitation Maximum
Predict Mutations for Excitation Maximum
Predict Mutations for Emission Maximum
Predict Mutations for Emission Maximum
In-Silico Deep Mutational Scanning and Automated Data Mining
Archive and Repeat
Assisting Directed Evolution Campaigns - It's Super Effective
Our platform supercharges your directed evolution campaigns by combining traditional experimental strategies with modern machine learning tools. Just like a strategic move in a classic game, our guided approach helps you identify the most promising mutations faster, reduce screening burdens, and achieve brighter, more functional fluorescent proteins. It’s not just effective — it’s super effective.
Let us help you level up your protein engineering game.
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