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English(EN) Using an energy pixels approach to estimate the size a 2nd Generation DEL must be to train a high-resolution binding model

新方法估算用于机器学习模型的DNA编码库大小

研究人员开发了一种新方法,用于估算训练高分辨率结合模型所需的第二代DNA编码库(DEL)的大小。该方法使用“能量像素”概念,将结合视为目标蛋白与配体之间的小相互作用之和。通过分析初始DEL的亲和力分布,该方法确定了密集采样所需的化合物数量,并识别紧密结合物,从而估算了药物化学中有效机器学习指导所需的复杂性。 AI

影响 这项研究通过优化药物化学中使用的机器学习模型的训练数据,有可能提高药物发现的效率。

排序理由 该集群包含一篇详细介绍训练机器学习模型新方法的论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 Hugging Face Daily Papers 阅读 →

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新方法估算用于机器学习模型的DNA编码库大小

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该集群包含一篇详细介绍训练机器学习模型新方法的论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    利用能量像素法估算第二代DEL需要多大才能训练高分辨率结合模型

    DNA-encoded libraries (DELs) are commonly used to find small-molecule binders to a target protein. But the hard part is no longer finding a hit. It is building a machine-learning model good enough to guide the medicinal chemistry that follows, one that can resolve the shift in af…