[HTML][HTML] Evaluation of MHC class I peptide binding prediction servers: applications for vaccine research

HH Lin, S Ray, S Tongchusak, EL Reinherz, V Brusic - BMC immunology, 2008 - Springer
Background Protein antigens and their specific epitopes are formulation targets for epitope-
based vaccines. A number of prediction servers are available for identification of peptides …

[HTML][HTML] Evaluation of MHC-II peptide binding prediction servers: applications for vaccine research

HH Lin, GL Zhang, S Tongchusak, EL Reinherz… - BMC …, 2008 - Springer
Background Initiation and regulation of immune responses in humans involves recognition
of peptides presented by human leukocyte antigen class II (HLA-II) molecules. These …

Improved methods for predicting peptide binding affinity to MHC class II molecules

KK Jensen, M Andreatta, P Marcatili, S Buus… - …, 2018 - Wiley Online Library
Major histocompatibility complex class II (MHC‐II) molecules are expressed on the surface
of professional antigen‐presenting cells where they display peptides to T helper cells, which …

[HTML][HTML] Methods for prediction of peptide binding to MHC molecules: a comparative study

K Yu, N Petrovsky, C Schönbach, JLY Koh, V Brusic - Molecular medicine, 2002 - Springer
Background A variety of methods for prediction of peptide binding to major histocompatibility
complex (MHC) have been proposed. These methods are based on binding motifs, binding …

Examining the independent binding assumption for binding of peptide epitopes to MHC-I molecules

B Peters, W Tong, J Sidney, A Sette, Z Weng - Bioinformatics, 2003 - academic.oup.com
Motivation: Various methods have been proposed to predict the binding affinities of peptides
to Major Histocompatibility Complex class I (MHC-I) molecules based on experimental …

[HTML][HTML] A systematic assessment of MHC class II peptide binding predictions and evaluation of a consensus approach

P Wang, J Sidney, C Dow, B Mothé… - PLoS computational …, 2008 - journals.plos.org
The identification of MHC class II restricted peptide epitopes is an important goal in
immunological research. A number of computational tools have been developed for this …

Accurate approximation method for prediction of class I MHC affinities for peptides of length 8, 10 and 11 using prediction tools trained on 9mers

C Lundegaard, O Lund, M Nielsen - Bioinformatics, 2008 - academic.oup.com
Several accurate prediction systems have been developed for prediction of class I major
histocompatibility complex (MHC): peptide binding. Most of these are trained on binding …

[HTML][HTML] Dataset size and composition impact the reliability of performance benchmarks for peptide-MHC binding predictions

Y Kim, J Sidney, S Buus, A Sette, M Nielsen… - BMC bioinformatics, 2014 - Springer
Background It is important to accurately determine the performance of peptide: MHC binding
predictions, as this enables users to compare and choose between different prediction …

Automated benchmarking of peptide-MHC class I binding predictions

T Trolle, IG Metushi, JA Greenbaum, Y Kim… - …, 2015 - academic.oup.com
Motivation: Numerous in silico methods predicting peptide binding to major
histocompatibility complex (MHC) class I molecules have been developed over the last …

[HTML][HTML] Strength in numbers: achieving greater accuracy in MHC-I binding prediction by combining the results from multiple prediction tools

B Trost, M Bickis, A Kusalik - Immunome research, 2007 - Springer
Background Peptides derived from endogenous antigens can bind to MHC class I
molecules. Those which bind with high affinity can invoke a CD8+ immune response …