Benchmarking solutions to the T-cell receptor epitope prediction problem: IMMREP22 workshop report-Reference-Cited by-同舟云学术

Benchmarking solutions to the T-cell receptor epitope prediction problem: IMMREP22 workshop report

Published:2023-03 Issue: Volume:9 Page:100024
ISSN:2667-1190
Container-title:ImmunoInformatics
language:en
Short-container-title:ImmunoInformatics

Author:

Meysman Pieter^ORCID,Barton Justin,Bravi Barbara,Cohen-Lavi Liel,Karnaukhov Vadim,Lilleskov Elias,Montemurro Alessandro,Nielsen Morten,Mora Thierry,Pereira Paul,Postovskaya Anna,Martínez María Rodríguez,Fernandez-de-Cossio-Diaz Jorge,Vujkovic Alexandra,Walczak Aleksandra M.,Weber Anna,Yin Rose,Eugster Anne,Sharma Virag

Publisher

Elsevier BV

Reference24 articles.

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2. The immune epitope database 2.0;Vita;Nucleic Acids Res,2010

3. A framework for highly multiplexed dextramer mapping and prediction of T-cell receptor sequences to antigen specificity;Zhang;Sci Adv,2021

4. VDJdb in the pandemic era: a compendium of T-cell receptors specific for SARS-CoV-2;Goncharov;Nat Methods,2022

5. A new way of exploring immunity: linking highly multiplexed antigen recognition to immune repertoire and phenotype,2019

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4. Structure-based prediction of T cell receptor recognition of unseen epitopes using TCRen;Nature Computational Science;2024-07-10

5. High-throughput discovery of MHC class I- and II-restricted T cell epitopes using synthetic cellular circuits;Nature Biotechnology;2024-07-02