Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Alessandro Montemurro"'
Autor:
Annie Borch, Ibel Carri, Birkir Reynisson, Heli M. Garcia Alvarez, Kamilla K. Munk, Alessandro Montemurro, Nikolaj Pagh Kristensen, Siri A. Tvingsholm, Jeppe Sejerø Holm, Christina Heeke, Keith Henry Moss, Ulla Kring Hansen, Anna-Lisa Schaap-Johansen, Frederik Otzen Bagger, Vinicius Araujo Barbosa de Lima, Kristoffer S. Rohrberg, Samuel A. Funt, Marco Donia, Inge Marie Svane, Ulrik Lassen, Carolina Barra, Morten Nielsen, Sine Reker Hadrup
Publikováno v:
Frontiers in Immunology, Vol 15 (2024)
BackgroundMutation-derived neoantigens are critical targets for tumor rejection in cancer immunotherapy, and better tools for neoepitope identification and prediction are needed to improve neoepitope targeting strategies. Computational tools have ena
Externí odkaz:
https://doaj.org/article/0bbbca7628154c30a577b6a43214db8d
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract Pairing of the T cell receptor (TCR) with its cognate peptide-MHC (pMHC) is a cornerstone in T cell-mediated immunity. Recently, single-cell sequencing coupled with DNA-barcoded MHC multimer staining has enabled high-throughput studies of T
Externí odkaz:
https://doaj.org/article/c09fb08df37b403b8019257a19c7c5ca
Publikováno v:
Frontiers in Immunology, Vol 13 (2022)
T cell receptors (TCR) define the specificity of T cells and are responsible for their interaction with peptide antigen targets presented in complex with major histocompatibility complex (MHC) molecules. Understanding the rules underlying this intera
Externí odkaz:
https://doaj.org/article/9f90f8a015f14aeeb8f2f844a59dd11f
Autor:
Alessandro Montemurro, Viktoria Schuster, Helle Rus Povlsen, Amalie Kai Bentzen, Vanessa Jurtz, William D. Chronister, Austin Crinklaw, Sine R. Hadrup, Ole Winther, Bjoern Peters, Leon Eyrich Jessen, Morten Nielsen
Publikováno v:
Communications Biology, Vol 4, Iss 1, Pp 1-13 (2021)
Montemurro et al. present NetTCR-2.0, a convolutional neural network-based tool for predicting the interactions between T cell receptors and MHC-peptide complexes. This tool demonstrates that the best predictions are made when CDR3 α or CDR3 β bind
Externí odkaz:
https://doaj.org/article/0fd24268ab1c4d9e95f4d96aaa1b710a
Pairing of the T cell receptor (TCR) with its cognate peptide-MHC (pMHC) is a cornerstone in T cell-mediated immunity. Recently, single-cell sequencing coupled with DNA-barcoded MHC multimer staining has enabled high-throughput studies of T cell spec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe4b7a59c4eda5aea05ea77f49015b64
https://doi.org/10.1101/2023.02.01.526310
https://doi.org/10.1101/2023.02.01.526310
Autor:
Pieter Meysman, Justin Barton, Barbara Bravi, Liel Cohen-Lavi, Vadim Karnaukhov, Elias Lilleskov, Alessandro Montemurro, Morten Nielsen, Thierry Mora, Paul Pereira, Anna Postovskaya, María Rodríguez Martínez, Jorge Fernandez-de-Cossio-Diaz, Alexandra Vujkovic, Aleksandra M. Walczak, Anna Weber, Rose Yin, Anne Eugster, Virag Sharma
Publikováno v:
ImmunoInformatics
Many different solutions to predicting the cognate epitope target of a T-cell receptor (TCR) have been proposed. However several questions on the advantages and disadvantages of these different approaches remain unresolved, as most methods have only
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f02f81b743da34a85dfec0a81f9b6c7
http://hdl.handle.net/10044/1/104095
http://hdl.handle.net/10044/1/104095
Autor:
Amalie Kai Bentzen, William D. Chronister, Morten Nielsen, Helle Rus Povlsen, Viktoria Schuster, Ole Winther, Vanessa Isabell Jurtz, Sine Reker Hadrup, Austin Crinklaw, Bjoern Peters, Alessandro Montemurro, Leon Eyrich Jessen
Publikováno v:
Montemurro, A, Schuster, V, Povlsen, H R, Bentzen, A K, Jurtz, V, Chronister, W D, Crinklaw, A, Hadrup, S R, Winther, O, Peters, B, Jessen, L E & Nielsen, M 2021, ' NetTCR-2.0 enables accurate prediction of TCR-peptide binding by using paired TCRα and β sequence data ', Communications Biology, vol. 4, no. 1, 1060 . https://doi.org/10.1038/s42003-021-02610-3
Communications Biology, Vol 4, Iss 1, Pp 1-13 (2021)
Montemurro, A, Schuster, V, Povlsen, H R, Bentzen, A K, Jurtz, V, Chronister, W D, Crinklaw, A, Hadrup, S R, Winther, O, Peters, B, Jessen, L E & Nielsen, M 2021, ' NetTCR-2.0 enables accurate prediction of TCR-peptide binding by using paired TCRα and β sequence data ', Communications Biology, vol. 4, 1060 . https://doi.org/10.1038/s42003-021-02610-3
Communications Biology, Vol 4, Iss 1, Pp 1-13 (2021)
Montemurro, A, Schuster, V, Povlsen, H R, Bentzen, A K, Jurtz, V, Chronister, W D, Crinklaw, A, Hadrup, S R, Winther, O, Peters, B, Jessen, L E & Nielsen, M 2021, ' NetTCR-2.0 enables accurate prediction of TCR-peptide binding by using paired TCRα and β sequence data ', Communications Biology, vol. 4, 1060 . https://doi.org/10.1038/s42003-021-02610-3
Prediction of T-cell receptor (TCR) interactions with MHC-peptide complexes remains highly challenging. This challenge is primarily due to three dominant factors: data accuracy, data scarceness, and problem complexity. Here, we showcase that “shall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f52488649735adc2c45a109b91698e86
https://orbit.dtu.dk/en/publications/54a18255-04b9-43e5-99d1-81af602e0d78
https://orbit.dtu.dk/en/publications/54a18255-04b9-43e5-99d1-81af602e0d78
Publikováno v:
Journal of Electrocardiology. 57:S106-S107