机器学习可以从二进制细胞分类数据中预测连续蛋白质特性,并绘制未见的序列空间图

Marshall Case1, Matthew Smith1,2, Jordan Vinh3

  • 1Chemical Engineering, University of Michigan, Ann Arbor, MI 48109.

概括

本研究介绍了一种机器学习框架,用于从定向进化实验中预测蛋白质特性. 该方法使用线性模型有效地识别具有改进功能的优化蛋白质变体.

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