LDBPR:最新蛋白质研究数据库

Shahid Ullah, Tianshun Gao, W. Rahman, F. Ullah, R. Jahan, Anees Ullah, Gulzar Ahmad, Muhammad Ijaz, Yihang Pan
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引用次数: 1

摘要

随着蛋白质研究数据的大量快速增长,产生了大量对蛋白质进行注释的数据库。如何使用这些数据库正成为现代生物学的一个关键部分。数据库研究通常是分析新蛋白质的第一步。多种数据库的综合利用可以帮助研究人员了解蛋白质的进化、结构和功能。因此,迫切需要一个与大多数数据库相结合的全面、大规模的资源来系统、精确地研究蛋白质。在这里,我们设计了一个LDBPR平台,收集了564个最新的科学蛋白质数据库。它完全涵盖了蛋白质序列、结构和模型、结构域、功能和蛋白质-蛋白质相互作用的物理、化学和生物信息。此外,LDBPR可以通过三种方式进行探索:(i)可以通过在给定的搜索栏中输入名称来浏览单个数据库;(ii)所有蛋白质类别均可通过点击类别名称浏览;(iii)图像图标,一键显示所有分类的蛋白质数据库。并利用PHP、HTML、CSS、MySQL等编程语言构建蛋白质科学界LDBPR,点击http://www.habdsk.org/ldbpr.php可自由检索,并及时更新。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
LDBPR: Latest Database of Protein Research
With the vast and rapid growth of protein research data, a large number of databases are produced to annotate proteins. How to use these databases is becoming a crucial part of modern biology. Database research is usually the first step in the analysis of a new protein. The combined utilization of multiple databases could help researchers to understand the evolution, structure, and function of proteins. Therefore, a well comprehensive and large-scale resource integrated with most of databases is urgently desirable for systematic and precise studies of proteins. Here we designed a platform LDBPR with a collection of 564 latest scientific protein databases. It fully covered physical, chemical, and biological information of Protein sequence, structure, and model, domain, function, and protein‐ protein interactions. Furthermore, The LDBPR can be explored by three ways: (i) single database can be browsed by typing the name in the given search bar; (ii) all protein categories can be browsed by clicking on the name of the category; (iii) the image icon, could give all categorized protein databases on single click. Moreover, the programming languages including PHP, HTML, CSS, and MySQL were used to construct LDBPR for the protein scientific community that can be freely searched by clicking http://www.habdsk.org/ldbpr.php and will be updated timely.
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