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New differentiable metric aids codon harmonization for gene expression

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a new method called Smooth %MinMax (%MinMax(s)) to improve the process of codon harmonization in genetic engineering. This technique offers a differentiable relaxation of the existing %MinMax metric, allowing for gradient-based optimization of synonymous codon usage. Experiments in harmonizing human gene sequences for expression in E. coli demonstrated that Smooth %MinMax closely matches the original metric while enabling neural sequence design. AI

IMPACT Enables more precise and efficient design of synthetic genes for heterologous expression.

RANK_REASON The cluster contains an academic paper detailing a new quantitative method for biological sequence design. [lever_c_demoted from research: ic=1 ai=0.4]

Read on arXiv cs.LG →

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New differentiable metric aids codon harmonization for gene expression

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The cluster contains an academic paper detailing a new quantitative method for biological sequence design. [lever_c_demoted from research: ic=1 ai=0.4]
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COVERAGE [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: A Differentiable Relaxation for Codon Harmonization

    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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