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Match Tope: a tool to predict the cross reactivity of peptides complexed with Major Histocompatibility Complex I

The therapeutic targeting of the immune system, for example in vaccinology and cancer treatment, is a challenging task and the subject of active research. Several in silico tools used for predicting immunogenicity are based on the analysis of peptide sequences binding to the Major Histocompatibility...

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Hauptverfasser: Mendes de Almeida, Marcus Fabiano (VerfasserIn) , Souza Bragatte, Marcelo de (VerfasserIn) , Vianna, Priscila (VerfasserIn) , Freitas, Martiela Vaz de (VerfasserIn) , Pöhner, Ina (VerfasserIn) , Richter, Stefan (VerfasserIn) , Wade, Rebecca C. (VerfasserIn) , Salzano, Francisco Mauro (VerfasserIn) , Vieira, Gustavo Fioravanti (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 28 October 2022
In: Frontiers in immunology
Year: 2022, Jahrgang: 13, Pages: 1-10
ISSN:1664-3224
DOI:10.3389/fimmu.2022.930590
Online-Zugang:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.3389/fimmu.2022.930590
Verlag, lizenzpflichtig, Volltext: https://www.frontiersin.org/articles/10.3389/fimmu.2022.930590
Volltext
Verfasserangaben:Marcus Fabiano de Almeida Mendes, Marcelo de Souza Bragatte, Priscila Vianna, Martiela Vaz de Freitas, Ina Pöhner, Stefan Richter, Rebecca C. Wade, Francisco Mauro Salzano and Gustavo Fioravanti Vieira
Beschreibung
Zusammenfassung:The therapeutic targeting of the immune system, for example in vaccinology and cancer treatment, is a challenging task and the subject of active research. Several in silico tools used for predicting immunogenicity are based on the analysis of peptide sequences binding to the Major Histocompatibility Complex (pMHC). However, few of these bioinformatics tools take into account the pMHC three-dimensional structure. Here, we describe a new bioinformatics tool, MatchTope, developed for predicting peptide similarity, which can trigger cross-reactivity events, by computing and analyzing the electrostatic potentials of pMHC complexes. We validated MatchTope by using previously published data from in vitro assays. We thereby demonstrate the strength of MatchTope for similarity prediction between targets derived from several pathogens as well as for indicating possible cross responses between self and tumor peptides. Our results suggest that MatchTope can enhance and speed up future studies in the fields of vaccinology and cancer immunotherapy.
Beschreibung:Gesehen am 22.12.2022
Beschreibung:Online Resource
ISSN:1664-3224
DOI:10.3389/fimmu.2022.930590

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