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摘要
酶是蛋白质,充当生物催化剂,以加速细胞生化过程。根据主要的酶委员会(EC)编号,酶分为六类:EC-1:氧化还原酶;EC-2:转移酶;EC-3:水解酶;EC-4:裂合酶;EC-5:异构酶和EC-6:合成酶。不同的酶具有不同的生物学功能和作用对象。因此,了解一种酶属于哪一个家族有助于推断其催化机制,并提供有关生物学功能的信息。在后基因组时代,随着大量蛋白质序列涌入数据库,酶家族的注释非常重要。由于实验方法成本低,生物信息学工具将有助于准确分类酶家族。本文从不同方面综述了机器学习方法在酶系预测中的应用。希望本文的研究能为酶家族分类的研究提供启示。
关键词: 酶,家族,分类,机器学习方法。
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