| 引用本文: | 秦浥雯,张嘉仪,吴朝敏,付小凡,易文辉,林昊,魏勍颋,涂追.NANO:一个新型的纳米抗体结构数据库系统[J].生物信息学,2024,22(4):277-286. |
| QIN Yiwen,ZHANG Jiayi,WU Zhaomin,FU Xiaofan,YI Wenhui,LIN Hao,WEI Qingting,TU Zhui.NANO: A novel nanobody structure database system[J].Chinese Journal of Bioinformatics,2024,22(4):277-286. |
|
| |
|
|
| 本文已被：浏览 53次 下载 22次 |
码上扫一扫！ |
|
|
| NANO:一个新型的纳米抗体结构数据库系统 |
|
秦浥雯1,张嘉仪1,吴朝敏1,付小凡1,易文辉1,林昊2,3,魏勍颋1,涂追2,3
|
|
(1.南昌大学 软件学院,南昌 330047; 2.南昌大学 食品科学与技术国家重点实验室,南昌 330047 ; 3.南昌大学 食品学院,南昌 330047)
|
|
| 摘要: |
| 纳米抗体是骆驼科动物中发现的抗体的一个亚类,是由单个多肽链组成的多功能分子结合支架。纳米抗体优越的性能决定了其在生物医学、食品科学等领域的广泛应用。尽管纳米抗体序列和结构数据已十分庞大,但其来源的异质性和缺乏标准化阻碍了纳米抗体信息的可靠收集。为了有效整合当前已公开的纳米抗体的庞大数据,有必要建立用于免疫信息学的纳米抗体数据库。提出了一个纳米抗体结构数据库系统NANO(http://124.221.201.63:8000/index)。该系统收集和存储了2 160条纳米抗体的序列和结构信息,提供文本、序列、氨基酸分区等基本搜索以及物种,亲和力和序列长度等高级搜索功能。与INDI,PDB,NCBI,SAbDab-nano等现有数据库系统的比对实验表明,NANO系统在检索字段,检索功能覆盖和检索时间性能方面均表现出色。可应用于筛选或设计高亲和力的纳米抗体,促进新型纳米抗体特异性计算方案的开发。 |
| 关键词: 纳米抗体 数据库 序列 结构 搜索 |
| DOI：10.12113/202304019 |
| 分类号:TP392 |
| 文献标识码:A |
| 基金项目:国家自然科学基金项目(No.62362050；No.32260248；No. 31860260). |
|
| NANO: A novel nanobody structure database system |
|
QIN Yiwen1, ZHANG Jiayi1 ,WU Zhaomin1, FU Xiaofan1, YI Wenhui1, LIN Hao2,3, WEI Qingting1, TU Zhui2,3
|
|
(1. School of Software, Nanchang University, Nanchang 330047,China; 2. State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047,China; 3. College of Food Science and Technology, Nanchang University, Nanchang 330047,China)
|
| Abstract: |
| Nanobodies are a subclass of antibodies found in camels. They are multifunctional molecular binding scaffolds composed of a single polypeptide chain. The excellent performance of nanobody determines its wide application in the fields of biomedical and food science. Although the sequence and structure data of nanobodies are very large, the heterogeneity of their sources and the lack of standardization hinder the reliable collection of nanobody information. In order to effectively integrate the huge data of nanobodies that have been published at present, it is necessary to establish a nanobody database for immunoinformatics. We propose a nanobody structure database system NANO (http://124.221.201.63:8000/index). The NANO system collects and stores the information of 2160 nanobody sequences and their structure. It provides basic search functions of text, sequence, amino acid region, and advanced search functions of species, affinity, and sequence length. Compared with the existing database systems INDI, PDB, NCBI and SAbDab-nano, the NANO system performs well in aspects of search field, search function coverage and search time performance. It can be used to screen or design high affinity nanobodies and promote the development of new nanobody specific calculation schemes. |
| Key words: Nanobody Database Sequence Structure Search |
|
|
|
|
