(Q41570698)

English

An integrated approach to epitope analysis I: Dimensional reduction, visualization and prediction of MHC binding using amino acid principal components and regression approaches

scientific article published on 2 November 2010

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scholarly article

1 reference

Europe PubMed Central

3 October 2017

An integrated approach to epitope analysis I: Dimensional reduction, visualization and prediction of MHC binding using amino acid principal components and regression approaches (English)

1 reference

Europe PubMed Central

3 October 2017

1 reference

based on heuristic

inferred from title

dimensionality reduction

1 reference

based on heuristic

inferred from title

author name string

Robert D Bremel

1

1 reference

Europe PubMed Central

3 October 2017

E Jane Homan

2

1 reference

Europe PubMed Central

3 October 2017

language of work or name

1 reference

based on heuristic

inferred from title

publication date

2 November 2010

1 reference

Europe PubMed Central

3 October 2017

Immunome Research

1 reference

Europe PubMed Central

3 October 2017

6

1 reference

Europe PubMed Central

3 October 2017

7

1 reference

Europe PubMed Central

3 October 2017

https://scigraph.springernature.com/pub.10.1186/1745-7580-6-7

0 references

An integrated approach to epitope analysis II: A system for proteomic-scale prediction of immunological characteristics

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2990731

6 June 2018

Design and utilization of epitope-based databases and predictive tools

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2990731

6 June 2018

Prediction of MHC-peptide binding: a systematic and comprehensive overview

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2990731

6 June 2018

NN-align. An artificial neural network-based alignment algorithm for MHC class II peptide binding prediction

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2990731

6 June 2018

Reducing risk, improving outcomes: bioengineering less immunogenic protein therapeutics

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2990731

6 June 2018

Flanking p10 contribution and sequence bias in matrix based epitope prediction: revisiting the assumption of independent binding pockets

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2990731

6 June 2018

On Evaluating MHC-II Binding Peptide Prediction Methods

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2990731

6 June 2018

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

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2990731

6 June 2018

The design and implementation of the immune epitope database and analysis resource

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2990731

6 June 2018

Computational vaccinology: quantitative approaches

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2990731

6 June 2018

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

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2990731

6 June 2018

MHCPred: A server for quantitative prediction of peptide-MHC binding.

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2990731

6 June 2018

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

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2990731

6 June 2018

Peptide quantitative structure-activity relationships, a multivariate approach.

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2990731

6 June 2018

Amino acid substitution matrices from protein blocks

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2990731

6 June 2018

Peptide binding to the HLA-DRB1 supertype: a proteochemometrics analysis.

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2990731

19 August 2018

Toward prediction of binding affinities between the MHC protein and its peptide ligands using quantitative structure-affinity relationship approach.

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2990731

19 August 2018

In silico quantitative prediction of peptides binding affinity to human MHC molecule: an intuitive quantitative structure-activity relationship approach.

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2990731

19 August 2018

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

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2990731

19 August 2018

Towards the chemometric dissection of peptide--HLA-A*0201 binding affinity: comparison of local and global QSAR models.

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2990731

19 August 2018

Improved prediction of MHC class I and class II epitopes using a novel Gibbs sampling approach.

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2990731

19 August 2018

Identifiers

10.1186/1745-7580-6-7

1 reference

Europe PubMed Central

3 October 2017

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release_ohcsmjgw2vfjdcipwc552ts3hm

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https://api.fatcat.wiki/v0/release/ohcsmjgw2vfjdcipwc552ts3hm

24 November 2022

based on heuristic

mapped directly with Wikidata item

1 reference

Europe PubMed Central

3 October 2017

1 reference

Europe PubMed Central

3 October 2017

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