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Neoantigen Dissimilarity to the Self-Proteome Predicts Immunogenicity and Response to Immune Checkpoint Blockade

  • Published:2019-10 Issue:4 Volume:9 Page:375-382.e4
  • ISSN:2405-4712
  • Container-title:Cell Systems
  • language:en
  • Short-container-title:Cell Systems

Author:

Richman Lee P.,Vonderheide Robert H.,Rech Andrew J.

Funder

NIH

Parker Institute for Cancer Immunotherapy

Apexigen

FibroGen

Inovio

Janssen

Lilly

Publisher

Elsevier BV

Subject

Cell Biology,Histology,Pathology and Forensic Medicine

Reference50 articles.

1. Gapped sequence alignment using artificial neural networks: application to the MHC class I system;Andreatta;Bioinformatics,2016

2. Solving the protein sequence metric problem;Atchley;Proc. Natl. Acad. Sci. USA,2005

3. Identification of unique neoantigen qualities in long-term survivors of pancreatic cancer;Balachandran;Nature,2017

4. Evaluation of machine learning methods to predict peptide binding to MHC Class I proteins;Bhattacharya;bioRxiv,2017

5. Blast+: architecture and applications;Camacho;BMC Bioinformatics,2009

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