在Omics和人工智能时代的酶数据库
Uroš Prešern1, Marko Goličnik1
1Institute of Biochemistry and Molecular Genetics, Faculty of Medicine, University of Ljubljana, Vrazov trg 2, 1000 Ljubljana, Slovenia.
International journal of molecular sciences
|December 9, 2023
概括
酶数据库对于研究至关重要,但与数据增长和标准化作斗争. 本综述探讨了当前的酶数据库及其在推进人工智能驱动的生物研究中的作用.
科学领域:
- 生物化学 生物化学
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
背景情况:
- 酶研究对医学和生物技术至关重要.
- 酶数据库支持研究规划和数据分析.
- 现有的数据库涵盖了各种各样的酶方面,但面临着挑战.
研究的目的:
- 审查当前酶数据库的现状.
- 为应对数据量和标准化所带来的挑战.
- 突出数据库在AI和深度学习中的作用.
主要方法:
- 对酶数据库的文献评论.
- 对数据策划和标准化问题的分析.
- 讨论机器可读性和人工智能集成.
主要成果:
- 手动策划限制了数据库的可扩展性.
- 缺乏数据标准化阻碍了分析.
- 机器可读数据库对于人工智能进步至关重要.
结论:
- 酶数据库需要适应日益增长的数据和AI需求.
- 改进数据标准化和机器可读性至关重要.
- 本综述指导用户有效选择和利用酶数据库.
关键词:
布伦达 (Brenda) 是一个女士.凯格 (KEGG) 是一个超周期 超周期 超周期萨比奥-RKK 在我们的数据库数据库数据库数据库.酵素酶是一种酶.酶动力学 酶动力学标准化 标准化 标准化更多相关视频
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