T-cell epitope prediction, the influence of amino acids physicochemical propeterties and frequencies on identifying MHC binding ligands
Само за регистроване кориснике
2017
Конференцијски прилог (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
Binding of peptides to MHC class I molecules is essential and the most selective step that determines T cell epitopes. Therefore, prediction of MHC-peptide binding presents the principal basis for anticipating potential T cell epitopes. The immense relevance of epitope identification in vaccine design has prompted the development of many computational methods. All of them have advantages and drawbacks. Although some available methods have reasonable accuracy, there is no guarantee that all models produce good quality predictions [1]. The aim of computational methods is to reduce the laboratory expensive experiments [2], that is way every effort to improve performance of existing methods or make reliable new method is important.
Кључне речи:
bioinformatics / data mining / MHC binding prediction / k-mean clustering / SVMИзвор:
Proceedings Belgrade BioInformatics Conference 2016 20-24 June 2016, Belgrade, Serbia, 2017, 55-63Издавач:
- Belgrade : Faculty of Mathematics, University
Колекције
Институција/група
Mašinski fakultetTY - CONF AU - Jandrlić, Davorka AU - Mitić, Nenad AU - Pavlović, Mirjana PY - 2017 UR - http://euler.matf.bg.ac.rs/belbi2016/ UR - https://machinery.mas.bg.ac.rs/handle/123456789/6772 AB - Binding of peptides to MHC class I molecules is essential and the most selective step that determines T cell epitopes. Therefore, prediction of MHC-peptide binding presents the principal basis for anticipating potential T cell epitopes. The immense relevance of epitope identification in vaccine design has prompted the development of many computational methods. All of them have advantages and drawbacks. Although some available methods have reasonable accuracy, there is no guarantee that all models produce good quality predictions [1]. The aim of computational methods is to reduce the laboratory expensive experiments [2], that is way every effort to improve performance of existing methods or make reliable new method is important. PB - Belgrade : Faculty of Mathematics, University C3 - Proceedings Belgrade BioInformatics Conference 2016 20-24 June 2016, Belgrade, Serbia T1 - T-cell epitope prediction, the influence of amino acids physicochemical propeterties and frequencies on identifying MHC binding ligands EP - 63 SP - 55 UR - https://hdl.handle.net/21.15107/rcub_machinery_6772 ER -
@conference{ author = "Jandrlić, Davorka and Mitić, Nenad and Pavlović, Mirjana", year = "2017", abstract = "Binding of peptides to MHC class I molecules is essential and the most selective step that determines T cell epitopes. Therefore, prediction of MHC-peptide binding presents the principal basis for anticipating potential T cell epitopes. The immense relevance of epitope identification in vaccine design has prompted the development of many computational methods. All of them have advantages and drawbacks. Although some available methods have reasonable accuracy, there is no guarantee that all models produce good quality predictions [1]. The aim of computational methods is to reduce the laboratory expensive experiments [2], that is way every effort to improve performance of existing methods or make reliable new method is important.", publisher = "Belgrade : Faculty of Mathematics, University", journal = "Proceedings Belgrade BioInformatics Conference 2016 20-24 June 2016, Belgrade, Serbia", title = "T-cell epitope prediction, the influence of amino acids physicochemical propeterties and frequencies on identifying MHC binding ligands", pages = "63-55", url = "https://hdl.handle.net/21.15107/rcub_machinery_6772" }
Jandrlić, D., Mitić, N.,& Pavlović, M.. (2017). T-cell epitope prediction, the influence of amino acids physicochemical propeterties and frequencies on identifying MHC binding ligands. in Proceedings Belgrade BioInformatics Conference 2016 20-24 June 2016, Belgrade, Serbia Belgrade : Faculty of Mathematics, University., 55-63. https://hdl.handle.net/21.15107/rcub_machinery_6772
Jandrlić D, Mitić N, Pavlović M. T-cell epitope prediction, the influence of amino acids physicochemical propeterties and frequencies on identifying MHC binding ligands. in Proceedings Belgrade BioInformatics Conference 2016 20-24 June 2016, Belgrade, Serbia. 2017;:55-63. https://hdl.handle.net/21.15107/rcub_machinery_6772 .
Jandrlić, Davorka, Mitić, Nenad, Pavlović, Mirjana, "T-cell epitope prediction, the influence of amino acids physicochemical propeterties and frequencies on identifying MHC binding ligands" in Proceedings Belgrade BioInformatics Conference 2016 20-24 June 2016, Belgrade, Serbia (2017):55-63, https://hdl.handle.net/21.15107/rcub_machinery_6772 .