蛋白质结构自动分类研究进展
Automated Protein Structure Classification: A Survey
摘要：
基于蛋白质结构的分类为研究蛋白质结构、功能和进化关系提供了宝贵的资源。随着已知蛋白质结构数量的迅速增加，人工和半自动分类变得越来越困难和缓慢。因此，越来越需要自动化、准确和有效的分类方法来生成分类数据库或提高半自动技术的速度和准确性。认识到这一需要，已经开发了几种自动分类方法。在本调查中，我们概述了这一领域的最新发展。我们根据不同的方法的特点进行分类，并比较它们的方法，准确性和效率。然后，我们提出了一些开放的问题，并解释未来的发展方向。
英文摘要：
Classification of proteins based on their structure provides a valuable resource for studying protein structure, function and evolutionary relationships. With the rapidly increasing number of known protein structures, manual and semi-automatic classification is becoming ever more difficult and prohibitively slow. Therefore, there is a growing need for automated, accurate and efficient classification methods to generate classification databases or increase the speed and accuracy of semi-automatic techniques. Recognizing this need, several automated classification methods have been developed. In this survey, we overview recent developments in this area. We classify different methods based on their characteristics and compare their methodology, accuracy and efficiency. We then present a few open problems and explain future directions.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
