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English(EN) Multimodal reasoning for broadly neutralizing antibody discovery from label-free human B cell repertoires across virus families

AI系统ImmuneAgent加速发现广泛中和抗体

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了ImmuneAgent，一个旨在从人类B细胞库中发现广泛中和抗体（bnAbs）的AI系统。该系统整合了多模态推理与持续元学习，并纳入湿式实验反馈，以应对bnAbs稀有和跨不同病毒泛化等挑战。在测试中，ImmuneAgent实现了显著的抗体发现率和可观的bnAb产量，优于现有的计算方法。发现的抗体在预防流感方面表现出疗效，并确定了抗体活性的关键细胞和结构决定因素，这些因素泛化到了如人类偏肺病毒和人乳头瘤病毒等新抗原上。 AI

影响 通过提高效率和泛化能力，加速针对新兴病毒威胁的治疗性抗体发现。

排序理由 该集群包含一篇详细介绍新型AI抗体发现系统的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

AI系统ImmuneAgent加速发现广泛中和抗体

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该集群包含一篇详细介绍新型AI抗体发现系统的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Hantao Lou, Jianqing Zheng, Can Yue, Meihan Zhang, Yuanchao Bao, Yu Chen, Mengting Huang, Yupeng Yang, Qianyu Pan, Nana Fu, Yansong Shi, Hongli Li, Yangyang Chai, Ruyi Chen, Wansheng Li, Zhu Liang, Rongmei Yao, Yuanhan Mo, Lei Wang, Chunmei Wang, Yun Qua… ·

    用于从无标记人类B细胞库跨病毒家族广泛中和抗体发现的多模态推理

    arXiv:2610.03160v1 Announce Type: cross Abstract: Discovering broadly neutralizing antibodies (bnAbs) from human natural immune repertoires remains a fundamental challenge in immunology, hindered by: the extreme rarity of bnAb, incomplete understanding of their cellular origins a…

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