mAIbe and LenioBio Join Forces to Accelerate Next-Gen Antibody Discovery
Two biotech innovators, mAIbe and LenioBio—have entered a strategic collaboration designed to push monoclonal antibody discovery into a faster, smarter, and more data-driven era.
This partnership blends AI-powered antibody design with cell-free protein expression, closing the loop between computational prediction and experimental validation.
Why This Collaboration Matters?
Antibody discovery often hits delays in early testing.
Slow expression systems and long build–test cycles create bottlenecks that limit iteration.
mAIbe and LenioBio aim to break that pattern.
Their integrated model brings together:
mAIbe’s AI-guided platform for antibody design and optimization
LenioBio’s ALiCE® cell-free expression technology, built for speed and scalability
The result: a tighter, faster design–build–test loop.
How the Partnership Works?
LenioBio’s system rapidly expresses even complex antibodies. This speed generates high-quality experimental data that flows directly into mAIbe’s AI models.
Together, the teams will:
Accelerate functional testing of AI-generated antibody candidates
Increase throughput in early-stage validation
Shorten iteration cycles between prediction and wet-lab data
This integrated workflow helps researchers validate more candidates in less time.
Setting a New Standard for Antibody R&D
The collaboration aims to close the long-standing gap between computational design and laboratory execution.
With:
Faster prototyping
Better experimental feedback
Higher precision in antibody optimization
mAIbe and LenioBio position themselves at the forefront of next-generation therapeutic antibody development.
About LenioBio
LenioBio GmbH develops cell-free protein expression solutions using its proprietary ALiCE® platform. The technology enables rapid discovery, development, and scalable production of complex proteins that are difficult to express in living cells.
About mAIbe
mAIbe specializes in AI-guided monoclonal antibody design. Its platform uses physics-informed generative AI and synthetic biology to engineer precise, cost-effective antibodies targeting viral and bacterial pathogens.
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