AUTHOR=Xia Jiaqi , Bai Peng , Fan Weiliang , Li Qiming , Li Yongzheng , Wang Dehe , Yin Lei , Zhou Yu 

TITLE=NEPdb: A Database of T-Cell Experimentally-Validated Neoantigens and Pan-Cancer Predicted Neoepitopes for Cancer Immunotherapy

JOURNAL=Frontiers in Immunology

VOLUME=12

YEAR=2021

URL=https://www.frontiersin.org/journals/immunology/articles/10.3389/fimmu.2021.644637

DOI=10.3389/fimmu.2021.644637

ISSN=1664-3224

ABSTRACT=<p>T-cell recognition of somatic mutation-derived cancer neoepitopes can lead to tumor regression. Due to the difficulty to identify effective neoepitopes, constructing a database for sharing experimentally validated cancer neoantigens will be beneficial to precise cancer immunotherapy. Meanwhile, the routine neoepitope prediction <italic>in silico</italic> is important but laborious for clinical use. Here we present NEPdb, a database that contains more than 17,000 validated human immunogenic neoantigens and ineffective neoepitopes within human leukocyte antigens (HLAs) <italic>via</italic> curating published literature with our semi-automatic pipeline. Furthermore, NEPdb also provides pan-cancer level predicted HLA-I neoepitopes derived from 16,745 shared cancer somatic mutations, using state-of-the-art predictors. With a well-designed search engine and visualization modes, this database would enhance the efficiency of neoantigen-based cancer studies and treatments. NEPdb is freely available at <uri xlink:href="http://nep.whu.edu.cn/" xmlns:xlink="http://www.w3.org/1999/xlink">http://nep.whu.edu.cn/</uri>.</p>