Cargando…

Prediction of MHC class I binding peptides, using SVMHC

BACKGROUND: T-cells are key players in regulating a specific immune response. Activation of cytotoxic T-cells requires recognition of specific peptides bound to Major Histocompatibility Complex (MHC) class I molecules. MHC-peptide complexes are potential tools for diagnosis and treatment of pathogen...

Descripción completa

Detalles Bibliográficos
Autores principales:	Dönnes, Pierre, Elofsson, Arne
Formato:	Texto
Lenguaje:	English
Publicado:	BioMed Central 2002
Materias:	Research article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC129981/ https://www.ncbi.nlm.nih.gov/pubmed/12225620 http://dx.doi.org/10.1186/1471-2105-3-25

Ejemplares similares

SVMHC: a server for prediction of MHC-binding peptides
por: Dönnes, Pierre, et al.
Publicado: (2006)

Improving peptide-MHC class I binding prediction for unbalanced datasets
por: Sales, Ana Paula, et al.
Publicado: (2008)

Prediction of MHC class I binding peptides using probability distribution functions
por: Soam, Sudhir Singh, et al.
Publicado: (2009)

CapsNet-MHC predicts peptide-MHC class I binding based on capsule neural networks
por: Kalemati, Mahmood, et al.
Publicado: (2023)

Evaluation of MHC class I peptide binding prediction servers: Applications for vaccine research
por: Lin, Hong Huang, et al.
Publicado: (2008)

The MHC class I peptide repertoire is molded by the transcriptome
por: Fortier, Marie-Hélène, et al.
Publicado: (2008)

Amino acid biophysical properties in the statistical prediction of peptide-MHC class I binding
por: Ray, Surajit, et al.
Publicado: (2007)

Prediction of peptides binding to MHC class I and II alleles by temporal motif mining
por: Meydan, Cem, et al.
Publicado: (2013)

MHCAttnNet: predicting MHC-peptide bindings for MHC alleles classes I and II using an attention-based deep neural model
por: Venkatesh, Gopalakrishnan, et al.
Publicado: (2020)

Deep convolutional neural networks for pan-specific peptide-MHC class I binding prediction
por: Han, Youngmahn, et al.
Publicado: (2017)

Ranking-Based Convolutional Neural Network Models for Peptide-MHC Class I Binding Prediction
por: Chen, Ziqi, et al.
Publicado: (2021)

The Utility of Supertype Clustering in Prediction for Class II MHC-Peptide Binding
por: Shen, Wen-Jun, et al.
Publicado: (2018)

ER stress affects processing of MHC class I-associated peptides
por: Granados, Diana P, et al.
Publicado: (2009)

Limitations of Ab Initio Predictions of Peptide Binding to MHC Class II Molecules
por: Zhang, Hao, et al.
Publicado: (2010)

Binding peptide generation for MHC Class I proteins with deep reinforcement learning
por: Chen, Ziqi, et al.
Publicado: (2023)

Prediction of MHC class II binding peptides based on an iterative learning model
por: Murugan, Naveen, et al.
Publicado: (2005)

Motifs and supermotifs for MHC class II binding peptides
Publicado: (1995)

Predicting peptides binding to MHC class II molecules using multi-objective evolutionary algorithms
por: Rajapakse, Menaka, et al.
Publicado: (2007)

Prediction of the binding affinities of peptides to class II MHC using a regularized thermodynamic model
por: Bordner, Andrew J, et al.
Publicado: (2010)

MHCVision: estimation of global and local false discovery rate for MHC class I peptide binding prediction
por: Pearngam, Phorutai, et al.
Publicado: (2021)

Quantitative prediction of mouse class I MHC peptide binding affinity using support vector machine regression (SVR) models
por: Liu, Wen, et al.
Publicado: (2006)

Expression levels of MHC class I molecules are inversely correlated with promiscuity of peptide binding
por: Chappell, Paul E, et al.
Publicado: (2015)

DeepLigand: accurate prediction of MHC class I ligands using peptide embedding
por: Zeng, Haoyang, et al.
Publicado: (2019)

Reduced bonobo MHC class I diversity predicts a reduced viral peptide binding ability compared to chimpanzees
por: Maibach, Vincent, et al.
Publicado: (2019)

Properties of MHC Class I Presented Peptides That Enhance Immunogenicity
por: Calis, Jorg J. A., et al.
Publicado: (2013)

Predicting Class II MHC-Peptide binding: a kernel based approach using similarity scores
por: Salomon, Jesper, et al.
Publicado: (2006)

A Peptide Filtering Relation Quantifies MHC Class I Peptide Optimization
por: Dalchau, Neil, et al.
Publicado: (2011)

Apparent lack of MHC restriction in binding of class I HLA molecules to solid-phase peptides
Publicado: (1990)

MHC2SKpan: a novel kernel based approach for pan-specific MHC class II peptide binding prediction
por: Guo, Linyuan, et al.
Publicado: (2013)

T-Cell Receptors Binding Orientation over Peptide/MHC Class I Is Driven by Long-Range Interactions
por: Ferber, Mathias, et al.
Publicado: (2012)

The strength of selection is consistent across both domains of the MHC class I peptide-binding groove in birds
por: Minias, Piotr, et al.
Publicado: (2021)

Scrutinizing MHC-I Binding Peptides and Their Limits of Variation
por: Koch, Christian P., et al.
Publicado: (2013)

Impact of genomic polymorphisms on the repertoire of human MHC class I-associated peptides
por: Granados, Diana Paola, et al.
Publicado: (2014)

Porcine major histocompatibility complex (MHC) class I molecules and analysis of their peptide-binding specificities
por: Pedersen, Lasse Eggers, et al.
Publicado: (2011)

Benchmark of tools for in silico prediction of MHC class I and class II genotypes from NGS data
por: Claeys, Arne, et al.
Publicado: (2023)

A Community Resource Benchmarking Predictions of Peptide Binding to MHC-I Molecules
por: Peters, Bjoern, et al.
Publicado: (2006)

Predicting MHC class I epitopes in large datasets
por: Roomp, Kirsten, et al.
Publicado: (2010)

Non-conventional sources of peptides presented by MHC class I
por: Starck, Shelley R., et al.
Publicado: (2011)

KIR Polymorphisms Modulate Peptide-Dependent Binding to an MHC Class I Ligand with a Bw6 Motif
por: Colantonio, Arnaud D., et al.
Publicado: (2011)

Citrullination only infrequently impacts peptide binding to HLA class II MHC
por: Sidney, John, et al.
Publicado: (2017)

Cannot write session to /tmp/vufind_sessions/sess_qutebijhs2sas7qcn65cho3oqq