SVRMHC prediction server for MHC-binding peptides

SVRMHC prediction server for MHC-binding peptides

<p>Abstract</p> <p>Background</p> <p>The binding between antigenic peptides (epitopes) and the MHC molecule is a key step in the cellular immune response. Accurate <it>in silico </it>prediction of epitope-MHC binding affinity can greatly expedite epitope scr...

Full description

Bibliographic Details
Main Authors:	Ren Yongliang, Xu Qiqi, Liu Wen, Wan Ji, Flower Darren R, Li Tongbin
Format:	Article
Language:	English
Published:	BMC 2006-10-01
Series:	BMC Bioinformatics
Online Access:	http://www.biomedcentral.com/1471-2105/7/463

Similar Items

Quantitative prediction of mouse class I MHC peptide binding affinity using support vector machine regression (SVR) models
by: Flower Darren R, et al.
Published: (2006-03-01)

Predicting Class II MHC-Peptide binding: a kernel based approach using similarity scores
by: Flower Darren R, et al.
Published: (2006-11-01)

Evaluation of MHC-II peptide binding prediction servers: applications for vaccine research
by: Reinherz Ellis L, et al.
Published: (2008-12-01)

Evaluation of MHC class I peptide binding prediction servers: Applications for vaccine research
by: Reinherz Ellis L, et al.
Published: (2008-03-01)

Empirical, AI, and QSAR approaches to peptide-MHC binding prediction
by: Hattotuwagama, C, et al.
Published: (2007)

Predicting Class II MHC-Peptide binding: a kernel based approach using similarity scores
by: Salomon, J, et al.
Published: (2006)

Evolutionary approaches for predicting MHC peptide binding
by: Rajapakse, Menaka Priyadharasani
Published: (2009)

Coupling in silico and in vitro analysis of peptide-MHC binding: a bioinformatic approach enabling prediction of superbinding peptides and anchorless epitopes.
by: Doytchinova, I, et al.
Published: (2004)

The Utility of Supertype Clustering in Prediction for Class II MHC-Peptide Binding
by: Wen-Jun Shen, et al.
Published: (2018-11-01)

On evaluating MHC-II binding peptide prediction methods.
by: Yasser El-Manzalawy, et al.
Published: (2008-09-01)

Prediction of MHC class I binding peptides, using SVMHC
by: Elofsson Arne, et al.
Published: (2002-09-01)

Structure-aware deep model for MHC-II peptide binding affinity prediction
by: Ying Yu, et al.
Published: (2024-01-01)

CapsNet-MHC predicts peptide-MHC class I binding based on capsule neural networks
by: Mahmood Kalemati, et al.
Published: (2023-05-01)

Improved prediction of MHC-peptide binding using protein language models
by: Nasser Hashemi, et al.
Published: (2023-08-01)

Improving peptide-MHC class I binding prediction for unbalanced datasets
by: Tomaras Georgia D, et al.
Published: (2008-09-01)

Limitations of Ab initio predictions of peptide binding to MHC class II molecules.
by: Hao Zhang, et al.
Published: (2010-02-01)

A community resource benchmarking predictions of peptide binding to MHC-I molecules.
by: Bjoern Peters, et al.
Published: (2006-06-01)

Scrutinizing MHC-I binding peptides and their limits of variation.
by: Christian P Koch, et al.
Published: (2013-01-01)

VaxiJen: a server for prediction of protective antigens, tumour antigens and subunit vaccines
by: Flower Darren R, et al.
Published: (2007-01-01)

Quantification of Uncertainty in Peptide-MHC Binding Prediction Improves High-Affinity Peptide Selection for Therapeutic Design
by: Zeng, Haoyang, et al.
Published: (2020)

MHCII3D—Robust Structure Based Prediction of MHC II Binding Peptides
by: Josef Laimer, et al.
Published: (2020-12-01)

Systematic identification of cancer-specific MHC-binding peptides with RAVEN
by: Michaela C. Baldauf, et al.
Published: (2018-09-01)

Targeted acidosis mediated delivery of antigenic MHC-binding peptides
by: Joey J. Kelly, et al.
Published: (2024-04-01)

Simulation of Major Histocompatibility Complex (MHC) Structure and Peptide Loading into an MHC Binding Pocket with Teachers’Hands
by: Mojtaba Sankian
Published: (2013-10-01)

Predicting peptides binding to MHC class II molecules using multi-objective evolutionary algorithms
by: Feng Lin, et al.
Published: (2007-11-01)

Prediction of the binding affinities of peptides to class II MHC using a regularized thermodynamic model
by: Mittelmann Hans D, et al.
Published: (2010-01-01)

Ranking-Based Convolutional Neural Network Models for Peptide-MHC Class I Binding Prediction
by: Ziqi Chen, et al.
Published: (2021-05-01)

Deep convolutional neural networks for pan-specific peptide-MHC class I binding prediction
by: Youngmahn Han, et al.
Published: (2017-12-01)

TCR binding to peptide-MHC stabilizes a flexible recognition interface.
by: Willcox, B, et al.
Published: (1999)

Hydrophobicity identifies false positives and false negatives in peptide-MHC binding
by: Arnav Solanki, et al.
Published: (2022-11-01)

Rosetta FlexPepDock to predict peptide-MHC binding: An approach for non-canonical amino acids
by: Nathaniel Bloodworth, et al.
Published: (2022-01-01)

OnionMHC: a deep learning model for peptide - HLA-A*02:01 binding predictions
by: Saxena, Shikhar
Published: (2022)

Predicting peptide binding affinities to MHC molecules using a modified semi-empirical scoring function.
by: Webber W P Liao, et al.
Published: (2011-01-01)

Enhancing in silico protein-based vaccine discovery for eukaryotic pathogens using predicted peptide-MHC binding and peptide conservation scores.
by: Stephen J Goodswen, et al.
Published: (2014-01-01)

Promiscuous binding of extracellular peptides to cell surface class I MHC protein
by: Eisen, Herman N., et al.
Published: (2012)

Promiscuous binding of extracellular peptides to cell surface class I MHC protein
by: Eisen, Herman N., et al.
Published: (2012)

Citrullination only infrequently impacts peptide binding to HLA class II MHC.
by: John Sidney, et al.
Published: (2017-01-01)

epitopepredict: a tool for integrated MHC binding prediction
by: Damien Farrell
Published: (2021-02-01)

Repertoire-scale determination of class II MHC peptide binding via yeast display improves antigen prediction
by: Rappazzo, C Garrett, et al.
Published: (2021)

Repertoire-scale determination of class II MHC peptide binding via yeast display improves antigen prediction
by: C. Garrett Rappazzo, et al.
Published: (2020-09-01)