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TUPDB: Target-Unrelated Peptide Data Bank
Interdisciplinary Sciences: Computational Life Sciences ( IF 4.8 ) Pub Date : 2021-05-16 , DOI: 10.1007/s12539-021-00436-5
Bifang He 1, 2 , Shanshan Yang 1 , Jinjin Long 1 , Xue Chen 1 , Qianyue Zhang 1 , Hui Gao 3 , Heng Chen 1 , Jian Huang 2
Affiliation  

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.

Graphic abstract



中文翻译:

TUPDB:与目标无关的肽数据库

通过生物淘选分离目标无关肽 (TUP) 仍然是噬菌体展示选择实验的主要问题。这些 TUP 对感兴趣的目标没有任何实际亲和力,这些目标往往被错误地识别为目标结合肽。因此,迫切需要一个用于存储 TUP 数据的信息门户。在这里,我们展示了一个 TUP 数据库 (TUPDB),这是一个综合的、手动管理的数据库,其中包含从 TUPScan、BDB 数据库和公共研究文章中收集的大约 73 个经过实验验证的 TUP 和 1963 个潜在的 TUP。TUPScan 工具已集成在 TUPDB 中以方便 TUP 分析。我们相信 TUPDB 可以帮助识别和删除生物淘选社区未来报告中的 TUP。该数据库对于提高基于噬菌体展示的表位作图的质量,促进疫苗、诊断和治疗的发展具有重要意义。TUPDB 数据库位于 http://i.uestc.edu.cn/tupdb。

图形摘要

更新日期:2021-05-17
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