Cradle - Design proteins effortlessly and efficiently

Cradle operates on a sophisticated machine learning framework that allows users to input their target protein sequences and desired optimization goals. The platform generates improved protein variants based on these inputs, predicting their performance before laboratory testing. Users can import existing lab data to refine the model further, ensuring a continuous cycle of learning and improvement. The system's architecture is designed to handle the complexity of protein engineering, enabling multi-property optimization in a single experimental round. This capability not only saves time but also enhances the overall quality of the research outcomes. Furthermore, Cradle's commitment to data privacy means that all user-generated sequences and experimental results remain confidential, providing peace of mind and ownership of intellectual property. This holistic approach ensures that researchers can focus on innovation without the typical guesswork associated with protein engineering.

To get started with Cradle, simply follow these steps:

1. Set Up Assays and Objectives: Define what you want to measure and the goals for your project.
2. Generate Sequences: Click a button to generate optimized protein sequences tailored to your objectives.
3. Test in Lab: Conduct laboratory tests on the generated variants.
4. Import Lab Results: Import your experimental data back into Cradle to refine future designs and improve success rates.

In summary, Cradle is revolutionizing the field of protein engineering by simplifying the design process and optimizing performance through advanced machine learning techniques. With its user-friendly interface, robust security measures, and commitment to user privacy, Cradle empowers researchers to innovate faster and more efficiently than ever before. Join the leading biotech teams and explore the potential of Cradle today.