What is Cradle?
Cradle is an AI-powered platform designed to revolutionize protein engineering. It uses machine learning to help scientists and biotech teams design improved variants of target protein sequences more efficiently and effectively.
Key Features of Cradle
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AI-driven protein design: Generate optimized protein variants with just a few clicks using advanced machine learning algorithms.
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Multi-property optimization: Ability to optimize multiple protein properties simultaneously in a single round.
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Predictive performance scoring: Each generated sequence comes with a predicted performance score to reduce surprises in the lab.
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Iterative learning: The system learns and improves with each experimental round, providing better variants over time.
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Versatile applications: Suitable for various protein types including enzymes, vaccines, peptides, and antibodies.
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Easy integration: Designed to fit into existing workflows, allowing users to import assay data or start fresh.
How to Use Cradle
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Set up assays and objectives: Define what you plan to measure and your project goals.
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Generate sequences: Use the AI to create optimized protein variants.
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Test in lab: Conduct experiments on the generated sequences.
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Import lab results: Feed experimental data back into the system for continuous improvement.
Pricing
While specific pricing details are not provided, Cradle mentions a flat fee per year for using their tools. They emphasize no royalties on intellectual property developed using their platform.
Helpful Tips for Using Cradle
- Start by importing existing assay data if available to jumpstart the optimization process.
- Utilize the multi-property optimization feature to save time and resources.
- Regularly import lab results to improve the AI's learning and generate better variants over time.
- Take advantage of the predicted performance scores to prioritize which variants to test in the lab.
Frequently Asked Questions
Is my data secure with Cradle?
Yes, Cradle emphasizes privacy and security. They use bank-grade security measures, and your data is kept private, only accessible to you and those you invite.
Who owns the intellectual property generated using Cradle?
You retain full ownership of all intellectual property developed using Cradle's platform.
Can Cradle handle complex protein engineering projects?
Yes, Cradle is designed to handle complex projects, including multi-property optimization for various types of proteins like enzymes, vaccines, peptides, and antibodies.
How does Cradle compare to traditional protein engineering methods?
Cradle claims to help reach objectives in half the time compared to traditional methods, leveraging machine learning to optimize multiple properties simultaneously and learn from each experimental round.
Who is using Cradle?
Cradle is used by industry leaders and "bioneers" in the biotech field, including some of the world's leading biotech teams.
Cradle's Impact on Protein Engineering
Cradle aims to significantly accelerate protein engineering projects by:
- Reducing time-to-market for new protein designs
- Enabling the optimization of multiple properties simultaneously
- Providing a user-friendly interface for complex protein engineering tasks
- Offering a data-driven approach to reduce trial and error in the lab
- Supporting a wide range of applications in biotechnology and pharmaceutical research
By leveraging AI and machine learning, Cradle is positioning itself as a transformative tool in the field of protein engineering, potentially speeding up the development of new therapeutics, chemicals, materials, and food products.