POPISK: T-cell reactivity prediction using support vector machines and string kernels (Q34074865)

30 July 2017

POPISK: T-cell reactivity prediction using support vector machines and string kernels (English)

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30 July 2017

support vector machine

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4

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30 July 2017

2

Matthias Ziehm

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30 July 2017

Andreas Kämper

3

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Chun-Wei Tung

object named as

Chun-Wei Tung

series ordinal

1

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author name string

Shinn-Ying Ho

series ordinal

5

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30 July 2017

15 November 2011

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30 July 2017

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30 July 2017

12

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30 July 2017

446

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PubMed ID

22085524

describes a project that uses

30 July 2017

support vector machine

1 reference

https://scigraph.springernature.com/pub.10.1186/1471-2105-12-446

inferred from title

exact match

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cites work

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5 July 2018

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5 July 2018

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5 July 2018

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5 July 2018

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5 July 2018

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5 July 2018

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5 July 2018

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5 July 2018

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5 July 2018

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5 July 2018

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5 July 2018

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5 July 2018

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5 July 2018

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Characterization of peptides bound to the class I MHC molecule HLA-A2.1 by mass spectrometry

5 July 2018

1 reference

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Atomic structure of a human MHC molecule presenting an influenza virus peptide

5 July 2018

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Amino acid properties and side-chain orientation in proteins: A cross correlation approach

5 July 2018

1 reference

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5 July 2018

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21 January 2018

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Prediction of proteasome cleavage motifs by neural networks

21 January 2018

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Analysis and prediction of affinity of TAP binding peptides using cascade SVM.

21 January 2018

1 reference

https://api.crossref.org/works/10.1186%2F1471-2105-12-446

SYFPEITHI: database for searching and T-cell epitope prediction

21 January 2018

1 reference

https://api.crossref.org/works/10.1186%2F1471-2105-12-446

Prediction of peptide-MHC binding using profiles.

21 January 2018

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https://api.crossref.org/works/10.1186%2F1471-2105-12-446

In silico prediction of peptide-MHC binding affinity using SVRMHC.

21 January 2018

1 reference

https://api.crossref.org/works/10.1186%2F1471-2105-12-446

DynaPred: a structure and sequence based method for the prediction of MHC class I binding peptide sequences and conformations.

21 January 2018

1 reference

https://api.crossref.org/works/10.1186%2F1471-2105-12-446

An integrative approach to CTL epitope prediction: a combined algorithm integrating MHC class I binding, TAP transport efficiency, and proteasomal cleavage predictions.

21 January 2018

1 reference

https://api.crossref.org/works/10.1186%2F1471-2105-12-446

Modeling the MHC class I pathway by combining predictions of proteasomal cleavage, TAP transport and MHC class I binding

21 January 2018

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Definition of supertypes for HLA molecules using clustering of specificity matrices.

21 January 2018

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Using multidimensional patterns of amino acid attributes for QSAR analysis of peptides.

21 January 2018

1 reference

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

21 January 2018

1 reference

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Analysis of peptide-protein binding using amino acid descriptors: prediction and experimental verification for human histocompatibility complex HLA-A0201.

21 January 2018

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ProLoc: prediction of protein subnuclear localization using SVM with automatic selection from physicochemical composition features.

21 January 2018

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Efficient MHC class I-peptide binding is required but does not ensure MHC class I-restricted immunogenicity

21 January 2018

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A novel Locally Linear Embedding and Wavelet Transform based encoding method for prediction of MHC-II binding affinity.

21 January 2018

1 reference

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Impact of HLA-B alleles, epitope binding affinity, functional avidity, and viral coinfection on the immunodominance of virus-specific CTL responses

28 October 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3228774

RASE: recognition of alternatively spliced exons in C.elegans.

28 October 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3228774

Enhancement to the RANKPEP resource for the prediction of peptide binding to MHC molecules using profiles.

28 October 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3228774

MAPPP: MHC class I antigenic peptide processing prediction.

28 October 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3228774

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

28 October 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=3228774

Amino acid side chain parameters for correlation studies in biology and pharmacology

28 October 2018

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12 December 2020

Identification of T cell receptor recognition residues for a viral peptide presented by HLA B27

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12 December 2020

The ability of peptides to induce cytotoxic T cells in vitro does not strongly correlate with their affinity for the H-2Ld molecule: implications for vaccine design and immunotherapy

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12 December 2020

A set of new amino acid descriptors applied in prediction of MHC class I binding peptides

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12 December 2020

[TEpredict: software for T-cell epitope prediction]

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12 December 2020

Identifiers

DOI

10.1186/1471-2105-12-446

1 reference

journals/bmcbi/TungZKKH11

30 July 2017

1 reference

DBLP Dataset 2021-01-02

Dimensions Publication ID

28 January 2021

1039686134

0 references

Fatcat ID

release_ijmpyfbfebghbmvgql445l3ofq

1 reference

Fatcat

https://api.fatcat.wiki/v0/release/ijmpyfbfebghbmvgql445l3ofq

24 November 2022

mapped directly with Wikidata item

PMCID

3228774

1 reference

30 July 2017

1 reference

PubMed ID

22085524