PromPDD, a web-based tool for the prediction, deciphering and design of promiscuous peptides that bind to HLA class I molecules-Reference-Cited by-同舟云学术

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PromPDD, a web-based tool for the prediction, deciphering and design of promiscuous peptides that bind to HLA class I molecules

Published:2020-01 Issue: Volume:476 Page:112685
ISSN:0022-1759
Container-title:Journal of Immunological Methods
language:en
Short-container-title:Journal of Immunological Methods

Author:

Zhang Songlin,Chen Jian,Hong Peijian,Li Jinru,Tian Yi,Wu Yuzhang,Wang Shufeng

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Immunology,Immunology and Allergy

Reference44 articles.

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

2. Assessing the accuracy of prediction algorithms for classification: an overview;Baldi;Bioinformatics,2000

3. Cancer immunotherapy. A dendritic cell vaccine increases the breadth and diversity of melanoma neoantigen-specific T cells;Carreno;Science,2015

4. Mapping cross-clade HIV-1 vaccine epitopes using a bioinformatics approach;De Groot;Vaccine,2003

5. A modular concept of HLA for comprehensive peptide binding prediction;DeLuca;Immunogenetics,2007

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