Literature DB >> 28898209

Neoantigen prediction and the need for validation.

Antonella Vitiello1, Maurizio Zanetti2.   

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Year:  2017        PMID： 28898209     DOI： 10.1038/nbt.3932

Source DB:  PubMed          Journal:  Nat Biotechnol        ISSN： 1087-0156            Impact factor:   54.908


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  30 in total

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3.  Evidence that a single peptide-MHC complex on a target cell can elicit a cytolytic T cell response.

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4.  Variation in the human immune system is largely driven by non-heritable influences.

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Journal:  Cell       Date:  2015-01-15       Impact factor: 41.582

5.  Cancer immunology. Mutational landscape determines sensitivity to PD-1 blockade in non-small cell lung cancer.

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Journal:  Science       Date:  2015-03-12       Impact factor: 47.728

Review 6.  Tumor antigens recognized by T lymphocytes.

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7.  CD8(+) T cell responses against a dominant cryptic HLA-A2 epitope after NY-ESO-1 peptide immunization of cancer patients.

Authors:  Sacha Gnjatic; Elke Jäger; Weisan Chen; Nasser K Altorki; Mitsutoshi Matsuo; Sang-Yull Lee; Qiyuan Chen; Yasuhiro Nagata; Djordje Atanackovic; Yao-Tseng Chen; Gerd Ritter; Jonathan Cebon; Alexander Knuth; Lloyd J Old
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8.  HLA class I supertypes: a revised and updated classification.

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9.  Analysis of the HLA-restricted influenza-specific cytotoxic T lymphocyte response in transgenic mice carrying a chimeric human-mouse class I major histocompatibility complex.

Authors:  A Vitiello; D Marchesini; J Furze; L A Sherman; R W Chesnut
Journal:  J Exp Med       Date:  1991-04-01       Impact factor: 14.307

10.  Direct identification of clinically relevant neoepitopes presented on native human melanoma tissue by mass spectrometry.

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Journal:  Nat Commun       Date:  2016-11-21       Impact factor: 14.919
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Journal:  Cell       Date:  2020-10-09       Impact factor: 41.582

2.  POTN: A Human Leukocyte Antigen-A2 Immunogenic Peptides Screening Model and Its Applications in Tumor Antigens Prediction.

Authors:  Qingqing Meng; Yahong Wu; Xinghua Sui; Jingjie Meng; Tingting Wang; Yan Lin; Zhiwei Wang; Xiuman Zhou; Yuanming Qi; Jiangfeng Du; Yanfeng Gao
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3.  Combining Three-Dimensional Modeling with Artificial Intelligence to Increase Specificity and Precision in Peptide-MHC Binding Predictions.

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4.  pVACtools: A Computational Toolkit to Identify and Visualize Cancer Neoantigens.

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5.  Using Frameshift Peptide Arrays for Cancer Neo-Antigens Screening.

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6.  Level of neo-epitope predecessor and mutation type determine T cell activation of MHC binding peptides.

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7.  RNA Transcription and Splicing Errors as a Source of Cancer Frameshift Neoantigens for Vaccines.

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8.  Direct Detection and Quantification of Neoantigens.

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9.  Identifying Potential Neoantigens for Cervical Cancer Immunotherapy Using Comprehensive Genomic Variation Profiling of Cervical Intraepithelial Neoplasia and Cervical Cancer.

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10.  Challenges targeting cancer neoantigens in 2021: a systematic literature review.

Authors:  Ina Chen; Michael Y Chen; S Peter Goedegebuure; William E Gillanders
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