TSNAdb v2.0:肿瘤特异性新抗原数据库的更新版本。

IF 11.5 2区 生物学 Q1 GENETICS & HEREDITY Genomics, Proteomics & Bioinformatics Pub Date : 2023-04-01 DOI:10.1016/j.gpb.2022.09.012
Jingcheng Wu , Wenfan Chen , Yuxuan Zhou , Ying Chi , Xiansheng Hua , Jian Wu , Xun Gu , Shuqing Chen , Zhan Zhou
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引用次数: 5

摘要

近年来,新抗原已被公认为肿瘤免疫治疗的理想靶点。随着基于新抗原的肿瘤免疫疗法的发展,迫切需要全面的新抗原数据库来满足日益增长的临床研究需求。我们之前已经建立了肿瘤特异性新抗原数据库(TSNAdb),这引起了人们的广泛关注。在本研究中,我们提供了TSNAdb v2.0,这是TSNAdb的更新版本。TSNAdb v2.0提供了几个新功能,包括(1)采用更严格的新抗原鉴定标准,(2)提供来自三种类型体细胞突变的预测新抗原,以及(3)收集实验验证的新抗原并根据实验水平进行划分。TSNAdb v2.0可在https://pgx.zju.edu.cn/tsnadb/.
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TSNAdb v2.0: The Updated Version of Tumor-specific Neoantigen Database

In recent years, neoantigens have been recognized as ideal targets for tumor immunotherapy. With the development of neoantigen-based tumor immunotherapy, comprehensive neoantigen databases are urgently needed to meet the growing demand for clinical studies. We have built the tumor-specific neoantigen database (TSNAdb) previously, which has attracted much attention. In this study, we provide TSNAdb v2.0, an updated version of the TSNAdb. TSNAdb v2.0 offers several new features, including (1) adopting more stringent criteria for neoantigen identification, (2) providing predicted neoantigens derived from three types of somatic mutations, and (3) collecting experimentally validated neoantigens and dividing them according to the experimental level. TSNAdb v2.0 is freely available at https://pgx.zju.edu.cn/tsnadb/.

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来源期刊
Genomics, Proteomics & Bioinformatics
Genomics, Proteomics & Bioinformatics Biochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
14.30
自引率
4.20%
发文量
844
审稿时长
61 days
期刊介绍: Genomics, Proteomics and Bioinformatics (GPB) is the official journal of the Beijing Institute of Genomics, Chinese Academy of Sciences / China National Center for Bioinformation and Genetics Society of China. It aims to disseminate new developments in the field of omics and bioinformatics, publish high-quality discoveries quickly, and promote open access and online publication. GPB welcomes submissions in all areas of life science, biology, and biomedicine, with a focus on large data acquisition, analysis, and curation. Manuscripts covering omics and related bioinformatics topics are particularly encouraged. GPB is indexed/abstracted by PubMed/MEDLINE, PubMed Central, Scopus, BIOSIS Previews, Chemical Abstracts, CSCD, among others.
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