Cradle
What is Cradle?
Cradle is a platform that helps biologists design improved proteins in record time using powerful prediction algorithms and AI design suggestions.
How to use Cradle?
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.
Cradle's Core 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
Cradle's 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
FAQ from 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?
Cradle Company
Cradle Company address: Amsterdam & Zurich.
More about Cradle, Please visit the about us page(https://www.cradle.bio/team).
Cradle Login
Cradle Login Link: https://app.cradle.bio/login
Cradle Linkedin
Cradle Linkedin Link: https://www.linkedin.com/company/cradlebio/
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Social Listening
Generative AI for Protein Engineering - Franziska Geiger | Podcast #131
🌎 Franzi on LinkedIn: https://www.linkedin.com/in/franziska-geiger-8a8235b5/?originalSubdomain=ch 👉 Explore Cradle: https://www.cradle.bio/ Franziska Geiger, born in Apfeldorf, Germany, is a talented software developer currently based in Zurich, Switzerland. With a strong background in computer science and a passion for technology, Franziska has made her mark in the tech world, particularly as a software developer at Google. Her journey in the field began with a focus on natural sciences during her time at the Ammersee-Gymnasium in Dießen. She went on to pursue a Bachelor's degree in Business Informatics at the University of Augsburg, followed by an elite Master’s program involving three universities. During her studies, she had the opportunity to work on her Master's thesis at the prestigious MIT in Boston, focusing on artificial intelligence and brain research. 📥 Free Science News Every Sunday: http://jousef.substack.com ONLINE PRESENCE ================ 🌍 My website - http://jousefmurad.com/ 📸 Instagram - https://www.instagram.com/jousefmrd/ 🐦 Twitter - https://twitter.com/Jousefm2 CONTACT: ———————— If you need help or have any questions, or want to collaborate, feel free to reach out to me via email: support@jousefmurad.com #engineering #proteinfolding #proteinengineering Podcast Recorded: April, 12th 2024 - Subscriber Release Count: 35,071.
Cradle Bio
https://cradle.bio/
Domain decomposition with Bayesian PINNs || JAX Scientific Ecosystem || Jan 31, 2025
Speakers, institutes & titles 1) Juliette Vanderhaeghen and Júlia Vicens, UCLouvain and Pompeu Fabra University, Domain decomposition with Bayesian Physics-Informed Neural Networks. 2) Patrick Kidger, Cradle.bio (formerly at Google X), An introduction to the JAX scientific ecosystem.
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