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UCB partners with Cradle to design antibodies with artificial intelligence

UCB, a biopharmaceutical group, and Cradle, an AI-based protein design platform, have announced a strategic collaboration to apply AI in antibody discovery.

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Source-provided image accompanying UCB partners with Cradle to design antibodies with artificial intelligence
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ideal-investisseur.fr
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Linked source — primary-source status has not been established.
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Key terms

Artificial Intelligence (AI)
The broad field of building systems that perform tasks requiring pattern recognition, reasoning, language, or decision-making.

What happened

UCB, a biopharmaceutical group, has partnered with Cradle, an AI-based protein design platform, to apply artificial intelligence in antibody discovery. The collaboration will cover the discovery chain, from the generation of the first active molecules to the optimization of lead molecules and preparation for the preclinical phase. The agreement complements UCB's computing capabilities, its own antibody discovery platform, and its network of technology and research partners.

The partnership between UCB and Cradle will apply AI in antibody discovery, covering the discovery chain from the generation of the first active molecules to the optimization of lead molecules and preparation for the preclinical phase.

The agreement complements UCB's computing capabilities, its own antibody discovery platform, and its network of technology and research partners.

The collaboration relies on a back-and-forth between computation and experimentation, with experimental results continuously feeding models specific to each program, a cumulative learning loop referred to as “lab-in-the-loop”.

Alistair Henry, Chief Scientific Officer of UCB, presents AI as a scientific force multiplier that strengthens human expertise, while Stef van Grieken, Chief Executive Officer and co-founder of Cradle, believes that AI will have its greatest impact on biologics R&D when it can be deployed beyond individual experiments or programs.

The partnership aims to provide UCB's scientists with a common platform to apply AI to more programs, more modalities, and more complex engineering challenges.

Source details: ideal-investisseur.fr

Why it matters

This partnership has the potential to improve the design of antibodies, which are crucial in the treatment of serious diseases. The use of AI in this process can lead to faster and more efficient discovery of new molecules, potentially leading to better treatments for patients. Additionally, this collaboration demonstrates the growing interest in applying AI in the biopharmaceutical industry.

This partnership has the potential to improve the design of antibodies, which are crucial in the treatment of serious diseases.

The use of AI in this process can lead to faster and more efficient discovery of new molecules, potentially leading to better treatments for patients.

This collaboration demonstrates the growing interest in applying AI in the biopharmaceutical industry.

The partnership between UCB and Cradle has the potential to lead to the development of new treatments for serious diseases, such as cancer and autoimmune disorders.

The use of AI in antibody discovery can also lead to the development of more targeted and effective treatments, reducing the risk of side effects and improving patient outcomes.

Interactive Mechanism

Interactive Mechanism: How It Actually Works

Explore the underlying technology behind this development interactively.

Thinking Budget (Test-Time Tokens):1,024 tokens
Complex Accuracy79%Math & Code Logic
Latency3.2sTime to first full output
Inference Cost$0.0092Per query estimated
Reasoning StyleStep VerificationInternal chain depth
Active Thinking Trace:
1Deconstruct user problem into formal constraints
2Propose candidate hypotheses & step-by-step calculation
3Self-correction: Backtrack and refute subtle edge cases
4Exhaustive consistency check & final output synthesis
Core takeaway: Test-time compute fundamentally changes AI economics. Instead of only scaling during pre-training, giving reasoning models more tokens at inference time allows them to systematically solve PhD-level STEM problems.
Interactive Concept Check+10 Points
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What to watch next

The impact of this partnership on the development of new treatments for serious diseases, the potential for faster and more efficient discovery of new molecules, and the growing interest in applying AI in the biopharmaceutical industry.

The impact of this partnership on the development of new treatments for serious diseases.

The potential for faster and more efficient discovery of new molecules.

The growing interest in applying AI in the biopharmaceutical industry.

The potential for this partnership to lead to the development of more targeted and effective treatments.

The potential for this partnership to improve patient outcomes and reduce the risk of side effects.

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