(Q37090212)

18 August 2017

Pan-specific MHC class I predictors: a benchmark of HLA class I pan-specific prediction methods (English)

1 reference

18 August 2017

Morten Nielsen

3

0 references

Claus Lundegaard

series ordinal

2

object named as

Claus Lundegaard

1 reference

18 August 2017

Hao Zhang

1

1 reference

PMC publication ID

2638932

18 August 2017

language of work or name

English

0 references

publication date

7 November 2008

1 reference

18 August 2017

7

1 reference

based on heuristic

inferred from page(s)

published in

Bioinformatics

1 reference

18 August 2017

25

1 reference

18 August 2017

1

1 reference

18 August 2017

83-89

1 reference

NetMHC-3.0: accurate web accessible predictions of human, mouse and monkey MHC class I affinities for peptides of length 8-11

18 August 2017

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2638932

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

29 September 2017

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2638932

The universal protein resource (UniProt)

29 September 2017

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2638932

NetMHCpan, a method for quantitative predictions of peptide binding to any HLA-A and -B locus protein of known sequence

29 September 2017

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2638932

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

29 September 2017

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2638932

MULTIPRED: a computational system for prediction of promiscuous HLA binding peptides

29 September 2017

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2638932

Sensitive quantitative predictions of peptide-MHC binding by a 'Query by Committee' artificial neural network approach.

29 September 2017

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2638932

Reliable prediction of T-cell epitopes using neural networks with novel sequence representations

29 September 2017

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2638932

MHCBN: a comprehensive database of MHC binding and non-binding peptides

29 September 2017

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2638932

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

29 September 2017

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2638932

LiveBench-2: large-scale automated evaluation of protein structure prediction servers.

29 September 2017

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2638932

SYFPEITHI: database for MHC ligands and peptide motifs

29 September 2017

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2638932

Immunodominance in major histocompatibility complex class I-restricted T lymphocyte responses

29 September 2017

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2638932

Measuring the accuracy of diagnostic systems

29 September 2017

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2638932

Efficient peptide-MHC-I binding prediction for alleles with few known binders.

29 September 2017

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2638932

A probabilistic meta-predictor for the MHC class II binding peptides.

27 June 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2638932

Modeling the adaptive immune system: predictions and simulations

3 September 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2638932

A meta-predictor for MHC class II binding peptides based on Naïve Bayesian approach.

3 September 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2638932

Learning MHC I--peptide binding.

3 September 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2638932

Automated generation and evaluation of specific MHC binding predictive tools: ARB matrix applications.

3 September 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2638932

A roadmap for the immunomics of category A-C pathogens

3 September 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2638932

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

3 September 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2638932

Prediction of protein secondary structure at 80% accuracy.

3 September 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2638932

10.1093/BIOINFORMATICS/BTN579

3 September 2018

Identifiers

DOI

1 reference

journals/bioinformatics/ZhangLN09

18 August 2017

1 reference

DBLP Dataset 2021-01-02

28 January 2021

1 reference

PMC publication ID

2638932

18 August 2017

PubMed publication ID

18996943

1 reference

PMC publication ID

2638932