PERCEPTRON-PTMKB:一个基于残留的后翻译修改分析和倾向评分的Web服务器
Abdullah Bin Faiz1, Muhammad Shoaib2, Safee Ullah Chaudary1
1Biomedical Informatics and Engineering Research Laboratory, Department of Life Sciences, Syed Babar Ali School of Science and Engineering, Lahore University of Management Science, Lahore, Punjab 54792, Pakistan.
PERCEPTRON-PTMKB是一个新的Web服务器,可以分析蛋白质的翻译后修饰 (PTMs). 它帮助研究人员评估PTM站点,并将这些数据集成到蛋白质搜索工具中.
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:
- 翻译后修改 (PTMs) 对蛋白质功能和细胞过程至关重要.
- 现有的PTM数据库缺乏与蛋白质搜索工具的集成,阻碍了分析.
- 对于PTMs,需要在当地环境中评估蛋白质残留的工具.
研究的目的:
- 介绍PERCEPTRON-PTMKB,这是一个用于分析和评估PTM网站的Web服务器.
- 用实证数据提供量化,残留物特定的PTM评估.
- 通过RESTful API,使PTM分析能够无集成到现有的生物信息工作流中.
主要方法:
- 开发了PERCEPTRON-PTMKB网络服务器.
- 实施一个倾向性评分算法用于定量PTM站点评估.
- 为搜索和倾向计算管道创建一个安全的RESTful API.
主要成果:
- PERCEPTRON-PTMKB提供了一种新的PTM场地分析方法.
- 服务器为PTMs提供定量,每残留倾向分数.
- 该RESTful API促进了与蛋白质序列搜索引擎的集成.
结论:
- PERCEPTRON-PTMKB增强了对蛋白质翻译后修改的研究.
- 该工具解决了PTM综合分析和评估方面的差距.
- 它使研究人员能够更有效地解读生物样本中的PTM.
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