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AI for Academic Research: Cradle Revolutionizes Protein Design
AI for academic research is transforming how scientists approach complex problems, and Cradle stands at the forefront of this revolution. This powerful AI tool empowers biologists to design and refine protein structures with unprecedented speed and accuracy using predictive algorithms and intelligent design suggestions. Cradle's high-throughput screening capabilities coupled with a user-friendly interface accelerate the process of generating novel sequences and optimizing codons for enhanced protein stability, activity, specificity, and affinity. Beyond its efficiency, Cradle prioritizes data security, ensuring users retain full ownership of their intellectual property. Backed by a team of industry veterans with expertise in biology, bioengineering, design, and machine learning, Cradle is poised to become an indispensable asset for researchers across diverse fields.
Pricing
Cradle offers a subscription-based pricing model where users pay an annual flat fee for access to its protein engineering platform. This fee grants them full use of Cradle's tools and machine learning models, allowing them to design improved protein variants, optimize multiple properties simultaneously, and accelerate their research projects. Notably, Cradle emphasizes data privacy and ownership, ensuring that user sequences and data remain confidential and accessible only to authorized individuals. Key Points: Subscription-based: Users pay an annual flat fee for access. Inclusive Access: The fee covers all features and tools on the platform. Data Ownership & Privacy: Users retain full ownership of their data and sequences. Cradle implements bank-grade security measures and a private-by-design approach to protect user information. No Royalties: There are no additional fees or royalties associated with using Cradle's platform or the generated protein variants.
Subscription
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