Pages that link to "Q51335858"

The following pages link to Hidden Markov model-based prediction of antigenic peptides that interact with MHC class II molecules (Q51335858):

Displaying 31 items.

• MUSI: an integrated system for identifying multiple specificity from very large peptide or nucleic acid data sets (Q24607812) (← links)
• Modeling the bound conformation of Pemphigus vulgaris-associated peptides to MHC Class II DR and DQ alleles (Q25257435) (← links)
• Machine Learning Methods for Predicting HLA-Peptide Binding Activity (Q26778112) (← links)
• The multiple-specificity landscape of modular peptide recognition domains (Q28115307) (← links)
• VitAL: Viterbi algorithm for de novo peptide design (Q28474154) (← links)
• On Evaluating MHC-II Binding Peptide Prediction Methods (Q29036015) (← links)
• Hammock: a hidden Markov model-based peptide clustering algorithm to identify protein-interaction consensus motifs in large datasets. (Q30009105) (← links)
• MHC class II epitope predictive algorithms. (Q30388353) (← links)
• A modular concept of HLA for comprehensive peptide binding prediction (Q30828102) (← links)
• Predicting Class II MHC-Peptide binding: a kernel based approach using similarity scores (Q33263601) (← links)
• Prediction of MHC class II binding affinity using SMM-align, a novel stabilization matrix alignment method (Q33289831) (← links)
• Predicting peptides binding to MHC class II molecules using multi-objective evolutionary algorithms (Q33306761) (← links)
• A systematic assessment of MHC class II peptide binding predictions and evaluation of a consensus approach (Q33326976) (← links)
• Quantitative predictions of peptide binding to any HLA-DR molecule of known sequence: NetMHCIIpan (Q33349439) (← links)
• NN-align. An artificial neural network-based alignment algorithm for MHC class II peptide binding prediction (Q33504888) (← links)
• PSSMHCpan: a novel PSSM-based software for predicting class I peptide-HLA binding affinity (Q33788637) (← links)
• MHC Class II Binding Prediction-A Little Help from a Friend. (Q33874185) (← links)
• Peptide binding prediction for the human class II MHC allele HLA-DP2: a molecular docking approach (Q33959944) (← links)
• NetMHCIIpan-2.0 - Improved pan-specific HLA-DR predictions using a novel concurrent alignment and weight optimization training procedure. (Q34366463) (← links)
• Predicting MHC-II binding affinity using multiple instance regression (Q36105054) (← links)
• Immunoinformatics and epitope prediction in the age of genomic medicine (Q36304147) (← links)
• T-cell epitope vaccine design by immunoinformatics (Q36702419) (← links)
• Robust quantitative modeling of peptide binding affinities for MHC molecules using physical-chemical descriptors (Q37099986) (← links)
• Advances of bioinformatics tools applied in virus epitopes prediction. (Q37844500) (← links)
• Novel in silico tools for designing peptide-based subunit vaccines and immunotherapeutics (Q38789472) (← links)
• Cloning, molecular analysis and epitopics prediction of a new chaperone GroEL Brucella melitensis antigen. (Q41131557) (← links)
• In silico prediction and immunological validation of common HLA-DRB1-restricted T cell epitopes of Candida albicans secretory aspartyl proteinase 2. (Q42164312) (← links)
• Modeling the adaptive immune system: predictions and simulations (Q48372980) (← links)
• A probabilistic meta-predictor for the MHC class II binding peptides (Q51898173) (← links)
• Trans-Allelic Model for Prediction of Peptide:MHC-II Interactions. (Q55498545) (← links)
• Breast cancer vaccination comes to age: impacts of bioinformatics (Q57114951) (← links)