A Survey for Predicting ATP Binding Residues of Proteins Using
Machine Learning Methods

doi:10.2174/0929867328666210910125802
摘要

蛋白质-配体相互作用是大多数蛋白质功能所必需的。 5'-三磷酸腺苷 (ATP) 就是这样一种配体，它作为辅酶在为细胞活动提供能量、催化生物反应和信号传导方面起着至关重要的作用。了解蛋白质的 ATP 结合残基有助于注释蛋白质功能和药物设计。然而，由于后基因组时代大量的蛋白质序列涌入数据库，通过实验识别 ATP 结合残基既费钱又费时。为了解决这个问题，已经开发了计算方法来预测 ATP 结合残基。在这篇综述中，我们简要总结了机器学习方法在检测蛋白质 ATP 结合残基中的应用。我们希望这篇综述有助于进一步的研究。
关键词: 5'-三磷酸腺苷 (ATP)、结合残基、预测、机器学习、特征提取、蛋白质
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DOI https://dx.doi.org/10.2174/0929867328666210910125802	Print ISSN 0929-8673
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当代药物化学

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