Mass Spectrometry Based Immunopeptidomics Leads to Robust Predictions of Phosphorylated HLA Class I Ligands-Reference-Cited by-同舟云学术

Mass Spectrometry Based Immunopeptidomics Leads to Robust Predictions of Phosphorylated HLA Class I Ligands

Published:2020-02 Issue:2 Volume:19 Page:390-404
ISSN:1535-9476
Container-title:Molecular & Cellular Proteomics
language:en
Short-container-title:Molecular & Cellular Proteomics

Author:

Solleder Marthe,Guillaume Philippe,Racle Julien^ORCID,Michaux Justine,Pak Hui-Song,Müller Markus^ORCID,Coukos George,Bassani-Sternberg Michal^ORCID,Gfeller David

Publisher

Elsevier BV

Subject

Molecular Biology,Biochemistry,Analytical Chemistry

Reference56 articles.

1. Towards a systems understanding of MHC class I and MHC class II antigen presentation;Neefjes;Nat. Rev. Immunol,2011

2. The IPD and IMGT/HLA database: Allele variant databases;Robinson;Nucleic Acids Res,2015

3. Predicting antigen presentation — what could we learn from a million peptides?;Gfeller;Front. Immunol,2018

4. Gapped sequence alignment using artificial neural networks: Application to the MHC class I system;Andreatta;Bioinformatics,2015

5. NetMHCpan-4.0: improved peptide–MHC class I interaction predictions integrating eluted ligand and peptide binding affinity data;Jurtz;J. Immunol,2017

Cited by 50 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Tumor antigen presentation and the associated signal transduction during carcinogenesis;Pathology - Research and Practice;2024-09

2. A Chemical Approach to Assess the Impact of Post-translational Modification on MHC Peptide Binding and Effector Cell Engagement;ACS Chemical Biology;2024-08-16

3. APE-Gen2.0: Expanding Rapid Class I Peptide–Major Histocompatibility Complex Modeling to Post-Translational Modifications and Noncanonical Peptide Geometries;Journal of Chemical Information and Modeling;2024-02-28

4. In Silico Tools for Predicting Novel Epitopes;Methods in Molecular Biology;2024

5. Immunopeptidomic approaches for management of cancer;Biomarkers in Cancer Detection and Monitoring of Therapeutics;2024