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English(EN) mRNAutilus: Multi-Objective-Guided Discrete Generation of mRNA with Optimized Therapeutic Properties

AI框架mRNAutilus优化治疗性mRNA设计

研究人员开发了mRNAutilus,一个用于设计治疗性mRNA序列的新框架。该系统使用掩码离散扩散模型结合蒙特卡洛树搜索来同时优化密码子使用和未翻译区域等多个功能目标。与以往分别设计这些组件的方法不同,mRNAutilus在一个优化的过程中生成完整的转录本。该框架在蛋白质表达方面为各种应用展示了显著的改进,其性能优于现有的商业和机器学习设计的构建体。 AI

影响 能够更有效、更高效地设计治疗性mRNA,可能加速药物开发。

排序理由 该集群包含一篇详细介绍用于特定科学应用的新AI框架的研究论文。

在 arXiv cs.LG 阅读 →

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报道来源 [2]

  1. arXiv cs.LG TIER_1 English(EN) · Sawan Patel, Sophia Tang, Yesol Kim, Yinuo Zhang, Divya Srijay, Ping-Jung Lin, Shambhavi Shubham, Fengmei Pi, Cedric Wu, Sherwood Yao, Pranam Chatterjee ·

    mRNAutilus: Multi-Objective-Guided Discrete Generation of mRNA with Optimized Therapeutic Properties

    arXiv:2605.31296v1 Announce Type: cross Abstract: Therapeutic mRNA design requires coordinating multiple interacting sequence features across the full transcript, where codon usage, untranslated regions (UTRs), and their coupling jointly determine stability, translation efficienc…

  2. arXiv cs.LG TIER_1 English(EN) · Pranam Chatterjee ·

    mRNAutilus:具有优化治疗特性的mRNA多目标引导离散生成

    Therapeutic mRNA design requires coordinating multiple interacting sequence features across the full transcript, where codon usage, untranslated regions (UTRs), and their coupling jointly determine stability, translation efficiency, and protein expression. Here, we present mRNA g…