Cradle

Cradle: Revolutionizing Protein Design with Machine Learning

Cradle is a groundbreaking platform that leverages machine learning to simplify and enhance the process of protein engineering. It empowers researchers and biotech teams to design improved variants of target protein sequences with unprecedented efficiency and accuracy.

Key Features

Intuitive Interface: Design protein variants with just a few clicks.
Machine Learning Integration: Utilizes advanced algorithms to predict protein performance.
Data Import: Easily import assay data from ongoing projects or start fresh with a single sequence.
Multi-Property Optimization: Optimizes multiple properties simultaneously, saving time and accelerating learning.
Secure and Private: Ensures data privacy and security with bank-grade protection.

Main Use Cases

Cradle is ideal for biotech teams and researchers working on:

Enzymes
Vaccines
Peptides
Antibodies

User Experience

Users praise Cradle for its simplicity and effectiveness, reporting higher hit rates and reduced time-to-market. The platform is trusted by industry leaders and biotech teams worldwide.

How to Use

Set Up Assays and Objectives: Define what you plan to measure and your project goals.
Generate Sequences: Use Cradle's machine learning to generate improved protein sequences.
Test in Lab: Validate the generated sequences through laboratory testing.
Import Lab Results: Feed the experimental data back into Cradle to refine future predictions.

Potential Limitations

While Cradle significantly enhances protein engineering, it requires access to computational resources and may have a learning curve for users not familiar with machine learning.

Cradle is transforming the field of protein design, making it more accessible and efficient for researchers and companies alike.