Computational methods for calculating a protein structure from a given amino acid sequence have revolutionized both our understanding of structural biology and the prediction of protein-binding compounds. This issue features several pieces that explore machine learning approaches for protein structure prediction, benchmarking and evaluation of model quality, and how machine learning algorithms can be used in the drug discovery process.

中文翻译：

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利用机器学习


根据给定氨基酸序列计算蛋白质结构的计算方法彻底改变了我们对结构生物学的理解和蛋白质结合化合物的预测。本期的几篇文章探讨了蛋白质结构预测、模型质量基准测试和评估的机器学习方法，以及如何在药物发现过程中使用机器学习算法。