DOTAD: A Database of Therapeutic Antibody Developability.

IF 3.9 2区 生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Wenzhen Li, Hongyan Lin, Ziru Huang, Shiyang Xie, Yuwei Zhou, Rong Gong, Qianhu Jiang, ChangCheng Xiang, Jian Huang
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Abstract

The development of therapeutic antibodies is an important aspect of new drug discovery pipelines. The assessment of an antibody's developability-its suitability for large-scale production and therapeutic use-is a particularly important step in this process. Given that experimental assays to assess antibody developability in large scale are expensive and time-consuming, computational methods have been a more efficient alternative. However, the antibody research community faces significant challenges due to the scarcity of readily accessible data on antibody developability, which is essential for training and validating computational models. To address this gap, DOTAD (Database Of Therapeutic Antibody Developability) has been built as the first database dedicated exclusively to the curation of therapeutic antibody developability information. DOTAD aggregates all available therapeutic antibody sequence data along with various developability metrics from the scientific literature, offering researchers a robust platform for data storage, retrieval, exploration, and downloading. In addition to serving as a comprehensive repository, DOTAD enhances its utility by integrating a web-based interface that features state-of-the-art tools for the assessment of antibody developability. This ensures that users not only have access to critical data but also have the convenience of analyzing and interpreting this information. The DOTAD database represents a valuable resource for the scientific community, facilitating the advancement of therapeutic antibody research. It is freely accessible at http://i.uestc.edu.cn/DOTAD/ , providing an open data platform that supports the continuous growth and evolution of computational methods in the field of antibody development.

Abstract Image

DOTAD:治疗性抗体可开发性数据库。
治疗性抗体的开发是新药研发管道的一个重要方面。在这一过程中,评估抗体的可开发性--其是否适合大规模生产和治疗用途--是尤为重要的一步。鉴于大规模评估抗体可开发性的实验检测既昂贵又耗时,计算方法成为了更有效的替代方法。然而,抗体研究界面临着巨大的挑战,因为缺乏可随时获取的抗体可开发性数据,而这些数据对于训练和验证计算模型至关重要。为了填补这一空白,我们建立了 DOTAD(治疗性抗体可发展性数据库),这是第一个专门用于整理治疗性抗体可发展性信息的数据库。DOTAD 汇集了所有可用的治疗性抗体序列数据以及科学文献中的各种可开发性指标,为研究人员提供了一个强大的数据存储、检索、探索和下载平台。DOTAD 除了作为一个综合资料库外,还通过集成一个基于网络的界面来增强其实用性,该界面具有最先进的抗体可开发性评估工具。这确保了用户不仅能访问关键数据,还能方便地分析和解读这些信息。DOTAD 数据库是科学界的宝贵资源,促进了治疗性抗体研究的发展。该数据库可在 http://i.uestc.edu.cn/DOTAD/ 免费访问,它提供了一个开放的数据平台,支持抗体开发领域计算方法的不断发展和演变。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Interdisciplinary Sciences: Computational Life Sciences
Interdisciplinary Sciences: Computational Life Sciences MATHEMATICAL & COMPUTATIONAL BIOLOGY-
CiteScore
8.60
自引率
4.20%
发文量
55
期刊介绍: Interdisciplinary Sciences--Computational Life Sciences aims to cover the most recent and outstanding developments in interdisciplinary areas of sciences, especially focusing on computational life sciences, an area that is enjoying rapid development at the forefront of scientific research and technology. The journal publishes original papers of significant general interest covering recent research and developments. Articles will be published rapidly by taking full advantage of internet technology for online submission and peer-reviewing of manuscripts, and then by publishing OnlineFirstTM through SpringerLink even before the issue is built or sent to the printer. The editorial board consists of many leading scientists with international reputation, among others, Luc Montagnier (UNESCO, France), Dennis Salahub (University of Calgary, Canada), Weitao Yang (Duke University, USA). Prof. Dongqing Wei at the Shanghai Jiatong University is appointed as the editor-in-chief; he made important contributions in bioinformatics and computational physics and is best known for his ground-breaking works on the theory of ferroelectric liquids. With the help from a team of associate editors and the editorial board, an international journal with sound reputation shall be created.
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