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English(EN) Edge-specific signal propagation on mature chromophore-region 3D mechanism graphs for fluorescent protein quantum-yield prediction

新的图算法可高精度预测荧光蛋白量子产率

研究人员开发了一种新颖的算法,该算法利用三维机理图来预测荧光蛋白的量子产率。该方法侧重于发色团及其直接环境,超越了基于序列的预测。该算法在基准数据集上取得了优越的性能,在预测与已知结构序列相似度低的蛋白质的产率方面,其表现优于ESM-C和SaProt等现有模型。 AI

影响 引入了一种新的基于图的方法用于蛋白质属性预测,有可能提高现有语言模型的准确性。

排序理由 这是一篇详细介绍科学预测任务新算法的研究论文。

在 arXiv cs.LG 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

新的图算法可高精度预测荧光蛋白量子产率

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报道来源 [2]

  1. arXiv cs.LG TIER_1 English(EN) · Yuchen Xiong, Swee Keong Yeap, Steven Aw Yoong Kit ·

    用于荧光蛋白量子产率预测的成熟发色团区域三维机制图的边缘特定信号传播

    arXiv:2605.06644v1 Announce Type: new Abstract: Fluorescent protein quantum yield (QY) is governed by the mature chromophore and its three-dimensional microenvironment rather than sequence identity alone. Protein language models and emission-band averages capture global trends, b…

  2. arXiv cs.LG TIER_1 English(EN) · Steven Aw Yoong Kit ·

    用于荧光蛋白量子产率预测的成熟发色团区域三维机理图的边缘特定信号传播

    Fluorescent protein quantum yield (QY) is governed by the mature chromophore and its three-dimensional microenvironment rather than sequence identity alone. Protein language models and emission-band averages capture global trends, but do not model how local physical signals act o…