What is Cradle?
Cradle is revolutionizing the field of protein engineering, offering a powerful and intuitive platform that leverages machine learning to design improved variants of your target proteins with minimal guesswork. Whether you are working on therapeutic proteins, enzymes, or antibodies, Cradle provides a user-friendly experience that accelerates the discovery process and enhances productivity, ultimately leading to faster time-to-market for critical biopharmaceuticals and industrial products.
What are the features of Cradle?
- Machine Learning Integration: Cradle employs sophisticated algorithms to predict the performance of protein variants, significantly reducing the trial-and-error associated with traditional design methodologies.
- Multi-Property Optimization: Unlike conventional approaches that focus on a single parameter, Cradle enables users to optimize multiple properties simultaneously, such as stability, activity, solubility, and expression levels.
- User-Friendly Interface: The platform offers a straightforward setup process where users can define their objectives, import assay data, and generate sequences with just a few clicks.
- Predictive Performance Scores: Each generated sequence comes with a predicted performance score, allowing researchers to prioritize assays and focus on the most promising candidates.
- Continuous Learning: Cradle improves with each experimental cycle by incorporating lab results back into the system, refining its models to provide increasingly accurate predictions for subsequent rounds.
- Data Ownership and Security: Users retain full ownership of their sequences and data, with bank-level security measures ensuring that proprietary information is kept safe and confidential.
What are the characteristics of Cradle?
- High Throughput: Designed for researchers who require rapid cycle times between generation and testing, enabling accelerated innovation in protein engineering projects.
- Customizable Workflows: Cradle fits seamlessly into existing laboratory workflows, allowing for easy integration without major disruptions to established practices.
- Support for Diverse Applications: Whether designing enzymes for bio-catalytic processes, developing peptide therapeutics, or engineering antibodies for targeted therapies, Cradle’s versatility supports a wide range of biotechnological applications.
What are the use cases of Cradle?
- Biopharmaceutical Development: Cradle is an invaluable tool for biotech companies focused on developing therapeutics, offering the ability to streamline the design of monoclonal antibodies and other biologics.
- Industrial Biotechnology: Businesses looking to enhance the efficiency of enzymatic processes can utilize Cradle’s multi-property optimization to discover high-performance enzymes.
- Agricultural Biotechnology: The platform can also be applied in agriculture to engineer proteins that improve crop resistance or nutrient profiles.
- Synthetic Biology Projects: Cradle provides essential support for synthetic biology initiatives, allowing researchers to create novel proteins with specific functionalities.
How to use Cradle?
- Define Assay Objectives: Begin by entering the parameters and properties you aim to optimize for your target protein.
- Import Existing Data: Upload any relevant lab assay data to tailor the predictions specifically to your project needs.
- Generate Variants: Click to generate new protein sequences, which will be calculated based on your defined objectives and existing data.
- Lab Testing: Conduct experimental validation of the generated variants in your lab to assess their performance.
- Import Results: After lab testing, return to Cradle to input your experimental results, allowing the system to learn and refine future predictions.
Cradle Company Information:
Cradle is based in Amsterdam and Zurich, driven by a mission to democratize access to advanced protein engineering capabilities. With a team of experts and advisors from leading biotech firms, Cradle is poised to make significant impacts across various sectors of biotechnology.
