How frequently are predicted peptides actually recognized by CD8 cells? - Wikidata - awgldk - TriplyDB

How frequently are predicted peptides actually recognized by CD8 cells?

How frequently are predicted peptides actually recognized by CD8 cells?

http://www.wikidata.org/entity/Q26750788

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Cervical Cancer Neoantigen Landscape and Immune Activity is Associated with Human Papillomavirus Master Regulators.Peptide vaccines in cancer-old concept revisited.High-Throughput GLP-Capable Target Cell Visualization Assay for Measuring Cell-Mediated Cytotoxicity.

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How frequently are predicted peptides actually recognized by CD8 cells?

http://www.wikidata.org/entity/Q26750788

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2016 nî lūn-bûn

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2016 թուականի Յուլիսին հրատարակուած գիտական յօդուած

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2016 թվականի հուլիսին հրատարակված գիտական հոդված

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2016年の論文

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2016年論文

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2016年論文

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2016年論文

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2016年論文

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2016年論文

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2016年论文

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How frequently are predicted peptides actually recognized by CD8 cells?

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How frequently are predicted peptides actually recognized by CD8 cells?

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How frequently are predicted peptides actually recognized by CD8 cells?

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How frequently are predicted peptides actually recognized by CD8 cells?

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How frequently are predicted peptides actually recognized by CD8 cells?

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How frequently are predicted peptides actually recognized by CD8 cells?

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How frequently are predicted peptides actually recognized by CD8 cells?

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How frequently are predicted peptides actually recognized by CD8 cells?

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Ioana Moldovan

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Oleg Targoni

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Paul V Lehmann

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Srividya Sundararaman

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Wenji Zhang

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Prediction of MHC class I binding peptides, using SVMHC

SYFPEITHI: database for MHC ligands and peptide motifs

Structure of peptides associated with class I and class II MHC molecules.

Comprehensive determinant mapping of the hepatitis C-specific CD8 cell repertoire reveals unpredicted immune hierarchy.

ELISPOT Assays in 384-Well Format: Up to 30 Data Points with One Million Cells.

T cells recognize multiple GAD65 and proinsulin epitopes in human type 1 diabetes, suggesting determinant spreading.

Increased in vivo frequency of IA-2 peptide-reactive IFNgamma+/IL-4- T cells in type 1 diabetic subjects.

Detection of minimal residual disease in acute leukemia by flow cytometry.

Polymorphism and evolution of HLA class I and II genes and molecules.

T-cell epitope mapping using the ELISPOT approach.

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immunologic tests

biomedical investigative technique

hemic and immune systems

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