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dbPepNeo2.0: A Database for Human Tumor Neoantigen Peptides From Mass Spectrometry and TCR Recognition.
Lu, Manman; Xu, Linfeng; Jian, Xingxing; Tan, Xiaoxiu; Zhao, Jingjing; Liu, Zhenhao; Zhang, Yu; Liu, Chunyu; Chen, Lanming; Lin, Yong; Xie, Lu.
Afiliação
  • Lu M; College of Food Science and Technology, Shanghai Ocean University, Shanghai, China.
  • Xu L; Shanghai-Ministry of Science and Technology (MOST) Key Laboratory of Health and Disease Genomics, Institute for Genome and Bioinformatics, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, China.
  • Jian X; Shanghai-Ministry of Science and Technology (MOST) Key Laboratory of Health and Disease Genomics, Institute for Genome and Bioinformatics, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, China.
  • Tan X; School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China.
  • Zhao J; Shanghai-Ministry of Science and Technology (MOST) Key Laboratory of Health and Disease Genomics, Institute for Genome and Bioinformatics, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, China.
  • Liu Z; Bioinformatics Center, National Clinical Research Centre for Geriatric Disorders, Department of Geriatrics, Xiangya Hospital, Central South University, Changsha, China.
  • Zhang Y; Shanghai-Ministry of Science and Technology (MOST) Key Laboratory of Health and Disease Genomics, Institute for Genome and Bioinformatics, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, China.
  • Liu C; Department of Bioinformatics and Biostatistics, Shanghai Jiao Tong University, Shanghai, China.
  • Chen L; College of Food Science and Technology, Shanghai Ocean University, Shanghai, China.
  • Lin Y; Shanghai-Ministry of Science and Technology (MOST) Key Laboratory of Health and Disease Genomics, Institute for Genome and Bioinformatics, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, China.
  • Xie L; Shanghai-Ministry of Science and Technology (MOST) Key Laboratory of Health and Disease Genomics, Institute for Genome and Bioinformatics, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai, China.
Front Immunol ; 13: 855976, 2022.
Article em En | MEDLINE | ID: mdl-35493528
ABSTRACT
Neoantigens are widely reported to induce T-cell response and lead to tumor regression, indicating a promising potential to immunotherapy. Previously, we constructed an open-access database, i.e., dbPepNeo, providing a systematic resource for human tumor neoantigens to storage and query. In order to expand data volume and application scope, we updated dbPepNeo to version 2.0 (http//www.biostatistics.online/dbPepNeo2). Here, we provide about 801 high-confidence (HC) neoantigens (increased by 170%) and 842,289 low-confidence (LC) HLA immunopeptidomes (increased by 107%). Notably, 55 class II HC neoantigens and 630 neoantigen-reactive T-cell receptor-ß (TCRß) sequences were firstly included. Besides, two new analytical tools are developed, DeepCNN-Ineo and BLASTdb. DeepCNN-Ineo predicts the immunogenicity of class I neoantigens, and BLASTdb performs local alignments to look for sequence similarities in dbPepNeo2.0. Meanwhile, the web features and interface have been greatly improved and enhanced.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Antígenos de Neoplasias / Neoplasias Limite: Humans Idioma: En Revista: Front Immunol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Antígenos de Neoplasias / Neoplasias Limite: Humans Idioma: En Revista: Front Immunol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China