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English(EN) CODesign: Consistency from Data to Trajectory in All-Atom Protein Binder Co-Design

CODesign框架通过新颖的一致性方法增强了蛋白质结合剂的设计

研究人员开发了一个名为CODesign的新颖框架,用于从头设计蛋白质结合剂。该框架通过采用多模态联合流模型和一致性感知重采样策略,解决了生成一致的蛋白质序列和结构这一挑战。该方法通过生成大量一致性蒸馏二聚体的数据集来提高数据一致性,从而在蛋白质靶标和配体靶标结合剂设计方面均取得了最先进的性能,并显著提高了计算机模拟的成功率。 AI

影响 这项研究推进了蛋白质设计的计算方法,有可能加速药物发现和生物材料的开发。

排序理由 该集群包含一篇在arXiv上发表的研究论文,详细介绍了一种用于蛋白质结合剂共设计的新型计算框架。[lever_c_demoted from research: ic=1 ai=1.0]

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CODesign框架通过新颖的一致性方法增强了蛋白质结合剂的设计

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该集群包含一篇在arXiv上发表的研究论文,详细介绍了一种用于蛋白质结合剂共设计的新型计算框架。[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) · Yuanle Mo, Bo Qiang, Haitao Lin, Qinghan Wang, Gang Du, Odin Zhang, Pheng Ann Heng ·

    CODesign:全原子蛋白结合剂共设计中从数据到轨迹的一致性

    arXiv:2610.01773v1 Announce Type: cross Abstract: The central challenge in de novo protein design is generating plausible, mutually compatible structures and sequences, such that each designed sequence folds into its intended structure and the structure accommodates that sequence…