首页|TSNAdb v2.0:The Updated Version of Tumor-specific Neoantigen Database

TSNAdb v2.0:The Updated Version of Tumor-specific Neoantigen Database

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In recent years,neoantigens have been recognized as ideal targets for tumor immunother-apy.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/.

NeoantigenTumor immunotherapyHuman leukocyte antigenSomatic mutationDatabase

Jingcheng Wu、Wenfan Chen、Yuxuan Zhou、Ying Chi、Xiansheng Hua、Jian Wu、Xun Gu、Shuqing Chen、Zhan Zhou

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Institute of Drug Metabolism and Pharmaceutical Analysis and Zhejiang Provincial Key Laboratory of Anti-Cancer Drug Research,College of Pharmaceutical Sciences,Zhejiang University,Hangzhou 310058,China

Alibaba-Zhejiang University Joint Research Center of Future Digital Healthcare,Alibaba DAMO Academy,Hangzhou 311121,China

The Second Affiliated Hospital of School of Medicine,and School of Public Health,Zhejiang University,Hangzhou 310058,China

Innovation Institute for Artificial Intelligence in Medicine,Zhejiang University,Hangzhou 310018,China

Department of Genetics,Development and Cell Biology,Iowa State University,Ames,IA 50011,USA

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National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaKey R&D Program of Zhejiang Province,ChinaHuadong Medicine Joint Funds of the Zhejiang Provincial Natural Science Foundation of ChinaAlibaba-Zhejiang University Joint Research Center of Future Digital Healthcare

31971371U20A204092020C03010LHDMZ22H300002

2023

基因组蛋白质组与生物信息学报(英文版)
中国科学院北京基因组研究所

基因组蛋白质组与生物信息学报(英文版)

CSTPCDCSCD
影响因子:0.495
ISSN:1672-0229
年,卷(期):2023.21(2)
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