English(EN) AMix-1: A Pathway to Test-Time Scalable Protein Foundation Model

AMix-1 蛋白质模型使用贝叶斯流网络增强设计

作者 PulseAugur 编辑部 · [1 个来源] · 2026-06-09 04:00

研究人员开发了 AMix-1，一种利用贝叶斯流网络和新颖训练方法的蛋白质基础模型。该模型通过多序列比对展示了可扩展的预训练、涌现能力和有效的上下文学习。AMix-1 已成功设计出活性提高 50 倍的改进型蛋白质变体，并包含一种用于增强计算机辅助定向进化的进化测试时缩放算法。 AI

影响为蛋白质设计引入了一个新的基础模型，有潜力加速实验室闭环工程。

排序理由这是一篇描述新模型和方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.AI TIER_1 English(EN) · Changze Lv, Jiang Zhou, Siyu Long, Lihao Wang, Jiangtao Feng, Dongyu Xue, Yu Pei, Hao Wang, Zherui Zhang, Yuchen Cai, Zhiqiang Gao, Ziyuan Ma, Jiakai Hu, Chaochen Gao, Jingjing Gong, Yuxuan Song, Shuyi Zhang, Xiaoqing Zheng, Deyi Xiong, Lei Bai, Wanli Ou… · 2026-06-09 04:00

AMix-1：通往测试时可扩展蛋白质基础模型之路

arXiv:2507.08920v4 Announce Type: replace-cross Abstract: We introduce AMix-1, a powerful protein foundation model built on Bayesian Flow Networks and empowered by a systematic training methodology, encompassing pretraining scaling laws, emergent capability analysis, in-context l…