[HTML][HTML] NNAlign_MA; MHC peptidome deconvolution for accurate MHC binding motif characterization and improved T-cell epitope predictions

B Alvarez, B Reynisson, C Barra, S Buus… - Molecular & Cellular …, 2019 - ASBMB
… The peptide-binding domain of MHC molecules consists of a groove, with specific amino
acid preferences at different positions. MHC class I, by and large, loads peptides between eight …

Performance evaluation of MHC class-I binding prediction tools based on an experimentally validated MHCpeptide binding data set

M Bonsack, S Hoppe, J Winter, D Tichy, C Zeller… - Cancer immunology …, 2019 - AACR
… consensus and IEDB recommended) or score (by SYFPEITHI). Initially… and 10-mer peptides
were still very similar among predictors. … Prediction of 11-mers binding to A24 yielded similar

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

KK Jensen, M Andreatta, P Marcatili, S Buus… - …, 2018 - Wiley Online Library
… We then used MHCCluster to find the functional similarity between any two … Here,
Frank is the ratio of the number of peptides with a prediction score higher than the positive …

Immunoinformatics: predicting peptideMHC binding

M Nielsen, M Andreatta, B Peters… - Annual review of …, 2020 - annualreviews.org
score distribution derived from a large set of random natural peptides) that have a better
score than the peptide … how the similarity between MHC-presented peptides and the self-…

Evaluation of machine learning methods to predict peptide binding to MHC Class I proteins

R Bhattacharya, A Sivakumar, C Tokheim, VB Guthrie… - BioRxiv, 2017 - biorxiv.org
… This result means that ranking of peptide-MHC affinities is similar among the best methods
… Using Kendall-Tau correlation or F1 score as the response variable, we identified several …

[HTML][HTML] NetMHCpan-3.0; improved prediction of binding to MHC class I molecules integrating information from multiple receptor and peptide length datasets

M Nielsen, M Andreatta - Genome medicine, 2016 - Springer
… The analysis was done in a similar manner to what we described above, but in addition we
peptides to multiple MHC molecules, we recommend the use of percentile rank scores rather …

[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
… , on the basis of neighboring MHC bearing the highest sequence similarity. Pan-allele methods
exhibited … The reweighted scores, comprised of MHC protein energy, peptide energy, and …

Improved peptide-MHC class II interaction prediction through integration of eluted ligand and peptide affinity data

C Garde, SH Ramarathinam, EC Jappe, M Nielsen… - Immunogenetics, 2019 - Springer
MHC molecule pseudo-sequence and the 9-mer peptide cores were encoded using normalized
log-odds scores … a cell line harboring MHC molecules with similar specificity profiles. In …

Pan-specific prediction of peptideMHC class I complex stability, a correlate of T cell immunogenicity

M Rasmussen, E Fenoy, M Harndahl… - The Journal of …, 2016 - journals.aai.org
… Evaluating such predictors, we find that the integrative model with similar weight on affinity …
peptide, the predicted stability score, converted half-life in hours, and a percentile rank score. …

A review on the methods of peptide-MHC binding prediction

Y Liu, X Ouyang, ZX Xiao, L Zhang… - Current …, 2020 - ingentaconnect.com
… using the similarity scores in the matrix. … peptide-MHC binding affinity to score MHC class
I peptide presentation, thereby improving the performance in natural MHC-binding peptides