多功能酶的分类技术与应用  

Classification Technology and Application of Multifunctional Enzymes

作　　者：毕鹏丽 

机构地区：[1]云南大学信息学院,云南 昆明

出　　处：《计算机科学与应用》2021年第3期476-488,共13页Computer Science and Application

摘　　要：酶是由活细胞产生的、对其底物具有高度特异性和高度催化效能的蛋白质或RNA,具有多种催化功能的酶被称为多功能酶。细胞是高度精细的复杂有机网络,多功能酶是常见的重要代谢反应的参与者,参与多个细胞代谢网络。在数据挖掘和机器学习领域,对酶的研究可以看作是一项预测任务。本文从机器学习的角度对关于多功能酶的研究作了一个深入的回顾。从方法和应用的角度,讨论的建模方法包括数据预处理、分类算法和模型评估等技术。对于应用方面,对现有的多功能酶应用领域提供了一个全面的分类,然后对各类别的应用进行了详细说明。最后,结合经验和判断,总结了一些建议,为多功能酶领域的进一步研究提供了方向。Enzymes are proteins or RNAs produced by living cells, which are highly specific and highly catalytic for their substrates. Enzymes with multiple catalytic functions are called multifunctional enzymes. Cells are highly sophisticated and complex organic networks, and multifunctional enzymes are common participants in important metabolic reactions and participate in multiple cellular meta-bolic networks. In the field of data mining and machine learning, the research of enzymes can be regarded as a prediction task. The article provides an indepth review of the research on enzymes from the perspective of machine learning. From the perspective of methods and applications, the modeling methods discussed include data preprocessing, classification algorithms, and model evaluation. For application, a comprehensive classification is provided for the existing multifunctional enzyme application fields, and then the application of each category is described in detail. Finally, combined with experience and judgment, some suggestions in the paper are summarized, which provides a direction for further research in the field of multifunctional enzymes.

关 键 词：生物信息学 多功能酶 多标签 机器学习 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]