September 12, 2025Open Access

BioLab: End-to-End Autonomous Life Sciences Research with Multi-Agents System Integrating Biological Foundation Models

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BioLab automates biological research and antibody design using a multi-agent system, suggesting improved productivity.

BioLab autonomously designed antibodies, achieving IC50 values of 0.01-0.016 nM, surpassing Pembrolizumab.
Utilizing 219 xBio-Tools, BioLab integrates multi-agent frameworks with foundation models for innovative research.
BioLab's approach includes iterative refinement through retrieval-augmented generation and functional validation.
It consistently outperformed leading language models across reasoning tasks, indicating superior computational capabilities.

Jin et al. (2025) studied this question.

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