Literature DB >> 29714025

Bioinformatics Tools for the Prediction of T-Cell Epitopes.

Massimo Andreatta1, Morten Nielsen2,3.   

Abstract

T-cell responses are activated by specific peptides, called epitopes, presented on the cell surface by MHC molecules. Binding of peptides to the MHC is the most selective step in T-cell antigen presentation and therefore an essential factor in the selection of potential epitopes. Several in-vitro methods have been developed for the determination of peptide binding to MHC molecules, but these are all costly and time-consuming. In consequence, significant effort has been dedicated to the development of in-silico methods to model this event. Here, we describe two such tools, NetMHCcons and NetMHCIIpan, for the prediction of peptide binding to MHC class I and class II molecules, respectively, involved in the activation pathways of CD8+ and CD4+ T cells.

Entities:  

Keywords:  Artificial neural networks; MHC binding; Prediction server; T-cell epitopes

Mesh:

Substances:

Year:  2018        PMID: 29714025     DOI: 10.1007/978-1-4939-7841-0_18

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  5 in total

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Journal:  Protein J       Date:  2020-04       Impact factor: 2.371

2.  Quantification of epitope abundance reveals the effect of direct and cross-presentation on influenza CTL responses.

Authors:  Ting Wu; Jing Guan; Andreas Handel; David C Tscharke; John Sidney; Alessandro Sette; Linda M Wakim; Xavier Y X Sng; Paul G Thomas; Nathan P Croft; Anthony W Purcell; Nicole L La Gruta
Journal:  Nat Commun       Date:  2019-06-28       Impact factor: 14.919

Review 3.  Peptide-Based Nanovaccines in the Treatment of Cervical Cancer: A Review of Recent Advances.

Authors:  Jiahui Zhang; Jingyi Fan; Mariusz Skwarczynski; Rachel J Stephenson; Istvan Toth; Waleed M Hussein
Journal:  Int J Nanomedicine       Date:  2022-02-25

4.  B.1.1.7 (Alpha) variant is the most antigenic compared to Wuhan strain, B.1.351, B.1.1.28/triple mutant and B.1.429 variants.

Authors:  Manojit Bhattacharya; Ashish Ranjan Sharma; Bidyut Mallick; Sang-Soo Lee; Eun-Min Seo; Chiranjib Chakraborty
Journal:  Front Microbiol       Date:  2022-08-12       Impact factor: 6.064

5.  Setting Up an Undergraduate Immunology Lab: Resources and Examples.

Authors:  Keith E Garrison; Melanie R Gubbels Bupp
Journal:  Front Immunol       Date:  2019-08-27       Impact factor: 7.561

  5 in total

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