|
Título:
|
Prediction of peptide-MHC binding using profiles
|
|
Autores:
|
Reche, Pedro A ;
Reinherz, Ellis L
|
|
Tipo de documento:
|
texto impreso
|
|
Fecha de publicación:
|
2007
|
|
Dimensiones:
|
application/pdf
|
|
Nota general:
|
info:eu-repo/semantics/openAccess
|
|
Idiomas:
|
|
|
Palabras clave:
|
Estado = Publicado
,
Materia = Ciencias Biomédicas: Medicina: Inmunología
,
Materia = Ciencias: Informática: Bioinformática
,
Materia = Ciencias Biomédicas: Biología: Biología molecular
,
Tipo = Artículo
|
|
Resumen:
|
Prediction of peptide binding to major histocompatibility complex (MHC) molecules is a basis for anticipating T-cell epitopes. Peptides that bind to a given MHC molecule are related by sequence similarity. Therefore, a position-specific scoring matrix (PSSM)---also known as profile--derived from a set of aligned peptides known to bind to a given MHC molecule can be used as a predictor of both peptide-MHC binding and T-cell epitopes. In this approach, the binding potential of any peptide sequence (query) to the MHC molecule is determined by its similarity to a set of known peptide-MHC binders and can be obtained by comparing the query to the PSSM. Following structural considerations of the peptide-MHC interaction, we will describe here how to derive alignments and PSSMs that are suitable for the prediction of peptide-MHC binding.
|
|
En línea:
|
https://eprints.ucm.es/id/eprint/9325/1/33.RecheReinherz_JMM_2007b.pdf
|
