منابع مشابه
Learning MHC I - peptide binding
MOTIVATION AND RESULTS Motivated by the ability of a simple threading approach to predict MHC I--peptide binding, we developed a new and improved structure-based model for which parameters can be estimated from additional sources of data about MHC-peptide binding. In addition to the known 3D structures of a small number of MHC-peptide complexes that were used in the original threading approach,...
متن کاملAutomated benchmarking of peptide-MHC class I binding predictions
MOTIVATION Numerous in silico methods predicting peptide binding to major histocompatibility complex (MHC) class I molecules have been developed over the last decades. However, the multitude of available prediction tools makes it non-trivial for the end-user to select which tool to use for a given task. To provide a solid basis on which to compare different prediction tools, we here describe a ...
متن کاملPeptide sequences binding to MHC class I proteins.
Motifs for peptides which bind specifically to the human class I major histocompatibility complex molecules HLA-A2 and B7 were determined by sequence analysis of class I-bound peptides selected from a random synthetic library of nonamers. Thirteen individual peptides were sequenced for HLA-A2, twelve individual and nine pooled peptides were sequenced for HLA-B7. Analysis of sequence alignment i...
متن کاملSimulation of Major Histocompatibility Complex (MHC) Structure and Peptide Loading into an MHC Binding Pocket with Teachers’Hands
Molecular understanding of three-dimensional (3D) peptide: MHC models require both basic knowledge of computational modeling and skilled visual perception, which are not possessed by all students. The present model aims to simulate MHC molecular structure with the hands and make a profound impression on the students.
متن کاملShift-Invariant Adaptive Double Threading: Learning MHC II - Peptide Binding
The major histocompatibility complex (MHC) plays important roles in the workings of the human immune system. Specificity of MHC binding to peptide fragments from cellular and pathogens' proteins has been found to correlate with disease outcome and pathogen or cancer evolution. In this paper we propose a novel approach to predicting binding configurations and energies for MHC class II molecules,...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2006
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/btl255