School of Medicine, Guizhou University, Guiyang, 550025, China.
Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, 611731, China.
Interdiscip Sci. 2021 Sep;13(3):426-432. doi: 10.1007/s12539-021-00436-5. Epub 2021 May 16.
The isolation of target-unrelated peptides (TUPs) through biopanning remains as a major problem of phage display selection experiments. These TUPs do not have any actual affinity toward targets of interest, which tend to be mistakenly identified as target-binding peptides. Therefore, an information portal for storing TUP data is urgently needed. Here, we present a TUP data bank (TUPDB), which is a comprehensive, manually curated database of approximately 73 experimentally verified TUPs and 1963 potential TUPs collected from TUPScan, the BDB database, and public research articles. The TUPScan tool has been integrated in TUPDB to facilitate TUP analysis. We believe that TUPDB can help identify and remove TUPs in future reports in the biopanning community. The database is of great importance to improving the quality of phage display-based epitope mapping and promoting the development of vaccines, diagnostics, and therapeutics. The TUPDB database is available at http://i.uestc.edu.cn/tupdb .
通过生物淘选分离与目标无关的肽（TUP）仍然是噬菌体展示选择实验的主要问题。这些 TUP 与感兴趣的目标没有任何实际亲和力，它们往往会被错误地识别为靶结合肽。因此，迫切需要一个存储 TUP 数据的信息门户。在这里，我们介绍了一个 TUP 数据库（TUPDB），这是一个全面的、手动整理的数据库，包含了大约 73 个经过实验验证的 TUP 和 1963 个从 TUPScan、BDB 数据库和公开研究文章中收集到的潜在 TUP。TUPScan 工具已集成到 TUPDB 中，以方便 TUP 分析。我们相信，TUPDB 可以帮助识别和去除未来生物淘选社区报告中的 TUP。该数据库对于提高噬菌体展示基表位作图的质量和促进疫苗、诊断和治疗的发展具有重要意义。TUPDB 数据库可在 http://i.uestc.edu.cn/tupdb 获得。
