
Cradle
Cradle platform speeds up protein design with AI algorithms.
protein designAIprediction algorithms
Introduction
Cradle is a platform that helps biologists design improved proteins in record time using powerful prediction algorithms and AI design suggestions.
Key Features
Visualization, analysis, and prediction of protein potential
Training the AI with wet lab results to improve candidates
Generating quality candidates in just one click
AI-assisted design tools for tasks like predicting protein structures, optimizing thermostability, and codon optimization
Private and secure data storage
Full ownership of intellectual property
Frequently Asked Questions
What is Cradle?
How to use Cradle?
How can Cradle help biologists design better proteins?
How does Cradle improve candidates with each round of testing?
Can Cradle be used for low throughput projects?
Is there a limit to the number of candidates that can be generated?
How does Cradle ensure privacy and security of data?
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Use Cases
- Designing improved proteins
- Optimizing protein thermostability
- Optimizing protein codons for better expression
- Improving protein stability in solvents
- Increasing protein activity and specificity
- Enhancing protein affinity for better protein-protein interactions
- Optimizing multiple phenotypes simultaneously
How to Use
To use Cradle, biologists can sign up for early access on the website. Once they have access, they can input their protein sequences and Cradle will provide visualization, analysis, and prediction of the protein's potential. Biologists can then use this information to design better proteins. Cradle also offers features like training the AI with wet lab results, generating quality candidates in just one click, and using AI-assisted design tools for tasks like predicting protein structures, optimizing thermostability, and codon optimization.