NanoLAS: a comprehensive nanobody database with data integration, consolidation and application.

IF 3.4 4区 生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Shuchang Xiong, Zhengwen Liu, Xin Yi, Kai Liu, Bingding Huang, Xin Wang
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引用次数: 0

Abstract

Nanobodies, a unique subclass of antibodies first discovered in camelid animals, are composed solely of a single heavy chain's variable region. Their significantly reduced molecular weight, in comparison to conventional antibodies, confers numerous advantages in the treatment of various diseases. As research and applications involving nanobodies expand, the quantity of identified nanobodies is also rapidly growing. However, the existing antibody databases are deficient in type and coverage, failing to satisfy the comprehensive needs of researchers and thus impeding progress in nanobody research. In response to this, we have amalgamated data from multiple sources to successfully assemble a new and comprehensive nanobody database. This database has currently included the latest nanobody data and provides researchers with an excellent search and data display interface, thus facilitating the progression of nanobody research and their application in disease treatment. In summary, the newly constructed Nanobody Library and Archive System may significantly enhance the retrieval efficiency and application potential of nanobodies. We envision that Nanobody Library and Archive System will serve as an accessible, robust and efficient tool for nanobody research and development, propelling advancements in the field of biomedicine. Database URL: https://www.nanolas.cloud.

NanoLAS:具有数据集成、整合和应用功能的综合性纳米体数据库。
纳米抗体是在驼科动物中首次发现的一种独特的抗体亚类,仅由单个重链的可变区组成。与传统抗体相比,纳米抗体的分子量大大降低,在治疗各种疾病方面具有诸多优势。随着纳米抗体研究和应用的不断扩大,已鉴定的纳米抗体数量也在迅速增长。然而,现有的抗体数据库在类型和覆盖面上都存在不足,无法满足研究人员的全面需求,从而阻碍了纳米抗体研究的进展。为此,我们整合了多种来源的数据,成功建立了一个全新的综合性纳米抗体数据库。该数据库收录了目前最新的纳米抗体数据,并为研究人员提供了良好的搜索和数据显示界面,从而促进了纳米抗体研究的进展及其在疾病治疗中的应用。总之,新建的纳米抗体图书馆和档案系统可大大提高纳米抗体的检索效率和应用潜力。我们设想纳米抗体图书馆和存档系统将成为纳米抗体研究和开发的一个方便、强大和高效的工具,推动生物医学领域的进步。数据库网址:https://www.nanolas.cloud.
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来源期刊
Database: The Journal of Biological Databases and Curation
Database: The Journal of Biological Databases and Curation MATHEMATICAL & COMPUTATIONAL BIOLOGY-
CiteScore
9.00
自引率
3.40%
发文量
100
审稿时长
>12 weeks
期刊介绍: Huge volumes of primary data are archived in numerous open-access databases, and with new generation technologies becoming more common in laboratories, large datasets will become even more prevalent. The archiving, curation, analysis and interpretation of all of these data are a challenge. Database development and biocuration are at the forefront of the endeavor to make sense of this mounting deluge of data. Database: The Journal of Biological Databases and Curation provides an open access platform for the presentation of novel ideas in database research and biocuration, and aims to help strengthen the bridge between database developers, curators, and users.
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