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English(EN) Emergent Biological Capabilities in a Foundation Model for Molecular Interactions

新的基础模型Bonbon展现出涌现的生物学能力

研究人员开发了Bonbon,一个在约3.2万亿个配对的蛋白质-配体序列上训练的分子相互作用基础模型。该模型在预测分子功能、识别结合位点以及区分共价和非共价相互作用方面展现出涌现的零样本能力,即使对于分布外复合物也是如此。受控的规模化实验揭示了在最大模型规模下这些能力出现了急剧的飞跃,表明传统的基于损失的规模化定律不足以预测涌现能力。前瞻性的湿法实验验证显示,对于九个疾病靶点,从头设计的化合物的剂量反应命中率为61.5%,产生了新颖的分子。 AI

影响 该模型在分子生物学中展现出涌现的能力,有可能加速药物发现和新型疗法的开发。

排序理由 该集群包含一篇详细介绍分子相互作用新基础模型的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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新的基础模型Bonbon展现出涌现的生物学能力

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该集群包含一篇详细介绍分子相互作用新基础模型的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Adi Mashiach ·

    基础模型在分子相互作用中涌现的生物学能力

    arXiv:2611.14504v1 Announce Type: new Abstract: Foundation models trained on large unlabeled corpora develop emergent capabilities, tasks that go beyond the training objective. We extend this paradigm to multimodal biology with Bonbon, a foundation model for molecular interaction…