Background: The understanding of protein function is essential to the study of biological processes. However, the prediction of protein function has been a difficult task for bioinformatics to overcome. This has resulted in many scholars focusing on the development of computational methods to address this problem.

Objective: In this review, we introduce the recently developed computational methods of protein function prediction and assess the validity of these methods. We then introduce the applications of clustering methods in predicting protein functions.

中文翻译：

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聚类方法在蛋白质功能预测中的应用

背景：对蛋白质功能的了解对于生物学过程的研究至关重要。然而，蛋白质功能的预测一直是生物信息学难以克服的任务。这导致许多学者致力于解决这一问题的计算方法的发展。

目的：在这篇综述中，我们介绍了最近开发的蛋白质功能预测的计算方法，并评估了这些方法的有效性。然后，我们介绍了聚类方法在预测蛋白质功能中的应用。