Computational methods for prediction of T-cell epitopes--a framework for modelling, testing, and applications (Q35948335)

11 August 2017

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title

Computational methods for prediction of T-cell epitopes--a framework for modelling, testing, and applications (English)

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11 August 2017

2

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11 August 2017

Nikolai Petrovsky

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Vladimir Brusic

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Vladimir Brusic

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PubMed ID

15542369

11 August 2017

language of work or name

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1 December 2004

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11 August 2017

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11 August 2017

34

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436-443

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Peptides naturally presented by MHC class I molecules

11 August 2017

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https://api.crossref.org/works/10.1016%2FJ.YMETH.2004.06.006

Assembly, transport, and function of MHC class II molecules

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IMGT/HLA database--a sequence database for the human major histocompatibility complex

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Strategies for designing and optimizing new generation vaccines

7 January 2021

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MHCPEP, a database of MHC-binding peptides: update 1997.

7 January 2021

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The antigenic identity of peptide-MHC complexes: a comparison of the conformations of five viral peptides presented by HLA-A2

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Crystal structure of the human class II MHC protein HLA-DR1 complexed with an influenza virus peptide

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Allele-specific motifs revealed by sequencing of self-peptides eluted from MHC molecules

7 January 2021

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SYFPEITHI: database for MHC ligands and peptide motifs

7 January 2021

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Improved tools for biological sequence comparison

7 January 2021

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Basic local alignment search tool

7 January 2021

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Prediction of major histocompatibility complex binding regions of protein antigens by sequence pattern analysis

7 January 2021

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Induction of cytotoxic T lymphocytes with peptides in vitro: identification of candidate T-cell epitopes in human papilloma virus

7 January 2021

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Identification of peptide sequences that potentially trigger HLA-A2.1-restricted cytotoxic T lymphocytes

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Two novel T cell epitope prediction algorithms based on MHC-binding motifs; comparison of predicted and published epitopes from Mycobacterium tuberculosis and HIV protein sequences.

7 January 2021

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Complexity among constituents of the HLA-B*1501 peptide motif.

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Prediction of well-conserved HIV-1 ligands using a matrix-based algorithm, EpiMatrix.

7 January 2021

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An automated prediction of MHC class I-binding peptides based on positional scanning with peptide libraries

7 January 2021

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Precise prediction of major histocompatibility complex class II-peptide interaction based on peptide side chain scanning

7 January 2021

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Prediction of peptide affinity to HLA DRB1*0401.

7 January 2021

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Predicting class II MHC/peptide multi-level binding with an iterative stepwise discriminant analysis meta-algorithm

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Generation of tissue-specific and promiscuous HLA ligand databases using DNA microarrays and virtual HLA class II matrices

7 January 2021

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Prediction of MHC class II-binding peptides using an evolutionary algorithm and artificial neural network.

7 January 2021

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Prediction of binding to MHC class I molecules.

7 January 2021

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Two complementary methods for predicting peptides binding major histocompatibility complex molecules.

7 January 2021

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Application of an artificial neural network to predict specific class I MHC binding peptide sequences

7 January 2021

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Neural network-based prediction of candidate T-cell epitopes.

7 January 2021

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Specific and general HLA-DR binding motifs: comparison of algorithms.

7 January 2021

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Predicting peptides that bind to MHC molecules using supervised learning of hidden Markov models.

7 January 2021

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Prediction of promiscuous peptides that bind HLA class I molecules

7 January 2021

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Antigenic peptide binding by class I and class II histocompatibility proteins

7 January 2021

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Protein-peptide interactions

7 January 2021

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Molecular dynamics simulation of MHC-peptide complexes as a tool for predicting potential T cell epitopes

7 January 2021

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Predicting binding affinities of protein ligands from three-dimensional models: application to peptide binding to class I major histocompatibility proteins.

7 January 2021

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Knowledge-based structure prediction of MHC class I bound peptides: a study of 23 complexes

7 January 2021

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

7 January 2021

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Quantitative approaches to computational vaccinology.

7 January 2021

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A combined bioinformatic approach oriented to the analysis and design of peptides with high affinity to MHC class I molecules.

7 January 2021

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Melanoma cells present a MAGE-3 epitope to CD4(+) cytotoxic T cells in association with histocompatibility leukocyte antigen DR11.

7 January 2021

1 reference

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Melan-A/MART-1(51-73) represents an immunogenic HLA-DR4-restricted epitope recognized by melanoma-reactive CD4(+) T cells

7 January 2021

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Efficient discovery of immune response targets by cyclical refinement of QSAR models of peptide binding.

7 January 2021

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Identification of subdominant cytotoxic T lymphocyte epitopes encoded by autologous HIV type 1 sequences, using dendritic cell stimulation and computer-driven algorithm.

7 January 2021

1 reference

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Identification of a promiscuous T-cell epitope in Mycobacterium tuberculosis Mce proteins

7 January 2021

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Large-scale computational identification of HIV T-cell epitopes

7 January 2021

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Rapid Determination of HLA B*07 Ligands from the West Nile Virus NY99 Genome

7 January 2021

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Immuno-informatics: Mining genomes for vaccine components

7 January 2021

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Comparing the success of different prediction software in sequence analysis: a review

7 January 2021

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Methods for prediction of peptide binding to MHC molecules: a comparative study.

7 January 2021

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10.1016/J.YMETH.2004.06.006

7 January 2021

Identifiers

DOI

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11 August 2017

1 reference

PubMed ID

15542369