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ERAMER: A novel in silico tool for prediction of ERAP1 enzyme trimming.
Al-Okaily, Anas; Abu Khashabeh, Razan; Alsmadi, Osama; Ahmad, Yazan; Sultan, Iyad; Tbakhi, Abdelghani; Srivastava, Pramod K.
Afiliación
  • Al-Okaily A; Department of Cell Therapy and Applied Genomics, King Hussein Cancer Center, Amman, Jordan. Electronic address: AA.12682@KHCC.JO.
  • Abu Khashabeh R; Department of Cell Therapy and Applied Genomics, King Hussein Cancer Center, Amman, Jordan.
  • Alsmadi O; Department of Cell Therapy and Applied Genomics, King Hussein Cancer Center, Amman, Jordan.
  • Ahmad Y; Department of Cell Therapy and Applied Genomics, King Hussein Cancer Center, Amman, Jordan.
  • Sultan I; Department of Cell Therapy and Applied Genomics, King Hussein Cancer Center, Amman, Jordan.
  • Tbakhi A; Department of Pathology and Molecular Medicine, McMaster University, Ontario, Canada.
  • Srivastava PK; Department of Immunology and Carole and Ray Neag Comprehensive Cancer Center, University of Connecticut School of Medicine, Farmington, CT, USA.
J Immunol Methods ; 531: 113713, 2024 Aug.
Article en En | MEDLINE | ID: mdl-38925438
ABSTRACT
MHC class I pathway consists of four main

steps:

proteasomal cleavage in the cytosol in which precursor proteins are cleaved into smaller peptides, which are then transported into the endoplasmic reticulum by the transporter associated with antigen processing, TAP, for further processing (trimming) from the N-terminal region by an ER resident aminopeptidases 1 (ERAP1) enzyme, to generate optimal peptides (8-10 amino acids in length) to produce a stable MHCI-peptide complex, that get transited via the Golgi apparatus to the cell surface for presentation to the cellular immune system. Several studies reported specificities related to the ERAP1 trimming process, yet there is no in silico tool for the prediction of the trimming process of the ERAP1 enzyme. In this paper, we provide and implement a prediction model for the trimming process of the ERAP1 enzyme.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Programas Informáticos / Antígenos de Histocompatibilidad Clase I / Aminopeptidasas Límite: Humans Idioma: En Revista: J Immunol Methods Año: 2024 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Programas Informáticos / Antígenos de Histocompatibilidad Clase I / Aminopeptidasas Límite: Humans Idioma: En Revista: J Immunol Methods Año: 2024 Tipo del documento: Article