[HTML][HTML] Quantitative prediction of mouse class I MHC peptide binding affinity using support vector machine regression (SVR) models

W Liu, X Meng, Q Xu, DR Flower, T Li - BMC bioinformatics, 2006 - Springer
Background The binding between peptide epitopes and major histocompatibility complex
proteins (MHCs) is an important event in the cellular immune response. Accurate prediction …

Toward more accurate pan-specific MHC-peptide binding prediction: a review of current methods and tools

L Zhang, K Udaka, H Mamitsuka… - Briefings in …, 2012 - academic.oup.com
Binding of short antigenic peptides to major histocompatibility complex (MHC) molecules is
a core step in adaptive immune response. Precise identification of MHC-restricted peptides …

[HTML][HTML] NN-align. An artificial neural network-based alignment algorithm for MHC class II peptide binding prediction

M Nielsen, O Lund - BMC bioinformatics, 2009 - Springer
Background The major histocompatibility complex (MHC) molecule plays a central role in
controlling the adaptive immune response to infections. MHC class I molecules present …

[HTML][HTML] Prediction of MHC class I binding peptides, using SVMHC

P Dönnes, A Elofsson - BMC bioinformatics, 2002 - Springer
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 …

[HTML][HTML] A community resource benchmarking predictions of peptide binding to MHC-I molecules

B Peters, HH Bui, S Frankild, M Nielsen… - PLoS computational …, 2006 - journals.plos.org
Recognition of peptides bound to major histocompatibility complex (MHC) class I molecules
by T lymphocytes is an essential part of immune surveillance. Each MHC allele has a …

Structure-based prediction of binding peptides to MHC class I molecules: application to a broad range of MHC alleles

O Schueler-Furman, Y Altuvia, A Sette, H Margalit - Protein Science, 2000 - cambridge.org
Specific binding of antigenic peptides to major histocompatibility complex (MHC) class I
molecules is a prerequisite for their recognition by cytotoxic T-cells. Prediction of MHC …

Hidden Markov model-based prediction of antigenic peptides that interact with MHC class II molecules

H Noguchi, R Kato, T Hanai, Y Matsubara… - Journal of bioscience …, 2002 - Elsevier
Elucidating the interaction between major histocompatibility complex (MHC) molecules and
antigenic peptides is fundamental to better understanding of the processes involved in …

[HTML][HTML] Prediction of MHC class II binding affinity using SMM-align, a novel stabilization matrix alignment method

M Nielsen, C Lundegaard, O Lund - BMC bioinformatics, 2007 - Springer
Abstract Background Antigen presenting cells (APCs) sample the extra cellular space and
present peptides from here to T helper cells, which can be activated if the peptides are of …

Additive method for the prediction of protein− peptide binding affinity. Application to the MHC class I molecule HLA-A* 0201

IA Doytchinova, MJ Blythe… - Journal of proteome …, 2002 - ACS Publications
A method has been developed for prediction of binding affinities between proteins and
peptides. We exemplify the method through its application to binding predictions of peptides …

[HTML][HTML] Systematically benchmarking peptide-MHC binding predictors: From synthetic to naturally processed epitopes

W Zhao, X Sher - PLoS computational biology, 2018 - journals.plos.org
A number of machine learning-based predictors have been developed for identifying
immunogenic T-cell epitopes based on major histocompatibility complex (MHC) class I and II …