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English(EN) Smooth $\%$MinMax: A Differentiable Relaxation for Codon Harmonization

新的可微分指标有助于基因表达的密码子协调

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了一种名为 Smooth %MinMax (%MinMax(s)) 的新方法，以改进基因工程中的密码子协调过程。该技术提供了现有 %MinMax 指标的可微分松弛，允许基于梯度的同义密码子使用优化。在为在大肠杆菌中表达而协调人类基因序列的实验中表明，Smooth %MinMax 与原始指标非常匹配，同时能够进行神经序列设计。 AI

影响 能够更精确、更有效地设计用于异源表达的合成基因。

排序理由 该集群包含一篇详细介绍生物序列设计新定量方法的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]

在 arXiv cs.LG 阅读 →

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

新的可微分指标有助于基因表达的密码子协调

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该集群包含一篇详细介绍生物序列设计新定量方法的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Yoonho Jeong, Hyunwoo Choi, Ryan Fernandez Medina Hariri, Eok Kyun Lee, Seung Seo Lee, Insung S. Choi ·

    Smooth $\%$MinMax: 一种用于密码子协调的可微分松弛方法

    arXiv:2607.03881v1 Announce Type: cross Abstract: Codon harmonization aims to adapt the coding sequences for heterologous expression while preserving the native-like patterns of frequent and rare codons that may influence local translation dynamics and co-translational protein fo…

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