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Identification of CD8+ T cell epitopes through proteasome cleavage site predictions
by
Gomez-Perosanz, Marta
, Reche, Pedro A.
, Ras-Carmona, Alvaro
, Lafuente, Esther M.
in
Accuracy
/ Algorithms
/ Antigen presentation
/ Antigenic determinants
/ Binding sites (Biochemistry)
/ Bioinformatics
/ Biomedical and Life Sciences
/ CD8 antigen
/ CD8 lymphocytes
/ CD8+ T cell epitope
/ Cleavage
/ Computational Biology/Bioinformatics
/ Computer Appl. in Life Sciences
/ Correlation coefficient
/ Correlation coefficients
/ COVID-19 - virology
/ Datasets
/ Dendritic cells
/ Discrimination
/ Epitopes
/ Epitopes, T-Lymphocyte - chemistry
/ Epitopes, T-Lymphocyte - metabolism
/ Humans
/ Identification and classification
/ Immunological research
/ Immunoproteasome
/ Internet
/ Life Sciences
/ Lymphocytes
/ Lymphocytes T
/ Methodology
/ Microarrays
/ Peptide
/ Peptides
/ Peptides - chemistry
/ Peptides - metabolism
/ Prediction
/ Predictions
/ Proteasome
/ Proteasome Endopeptidase Complex - metabolism
/ Proteasomes
/ Proteins
/ Proteomics - methods
/ SARS-CoV-2
/ SARS-CoV-2 - chemistry
/ SARS-CoV-2 - metabolism
/ Servers
/ Severe acute respiratory syndrome coronavirus 2
/ Software
/ Structure
/ Ubiquitin-proteasome system
/ Viral Proteins - chemistry
/ Viral Proteins - metabolism
2020
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Identification of CD8+ T cell epitopes through proteasome cleavage site predictions
by
Gomez-Perosanz, Marta
, Reche, Pedro A.
, Ras-Carmona, Alvaro
, Lafuente, Esther M.
in
Accuracy
/ Algorithms
/ Antigen presentation
/ Antigenic determinants
/ Binding sites (Biochemistry)
/ Bioinformatics
/ Biomedical and Life Sciences
/ CD8 antigen
/ CD8 lymphocytes
/ CD8+ T cell epitope
/ Cleavage
/ Computational Biology/Bioinformatics
/ Computer Appl. in Life Sciences
/ Correlation coefficient
/ Correlation coefficients
/ COVID-19 - virology
/ Datasets
/ Dendritic cells
/ Discrimination
/ Epitopes
/ Epitopes, T-Lymphocyte - chemistry
/ Epitopes, T-Lymphocyte - metabolism
/ Humans
/ Identification and classification
/ Immunological research
/ Immunoproteasome
/ Internet
/ Life Sciences
/ Lymphocytes
/ Lymphocytes T
/ Methodology
/ Microarrays
/ Peptide
/ Peptides
/ Peptides - chemistry
/ Peptides - metabolism
/ Prediction
/ Predictions
/ Proteasome
/ Proteasome Endopeptidase Complex - metabolism
/ Proteasomes
/ Proteins
/ Proteomics - methods
/ SARS-CoV-2
/ SARS-CoV-2 - chemistry
/ SARS-CoV-2 - metabolism
/ Servers
/ Severe acute respiratory syndrome coronavirus 2
/ Software
/ Structure
/ Ubiquitin-proteasome system
/ Viral Proteins - chemistry
/ Viral Proteins - metabolism
2020
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Identification of CD8+ T cell epitopes through proteasome cleavage site predictions
by
Gomez-Perosanz, Marta
, Reche, Pedro A.
, Ras-Carmona, Alvaro
, Lafuente, Esther M.
in
Accuracy
/ Algorithms
/ Antigen presentation
/ Antigenic determinants
/ Binding sites (Biochemistry)
/ Bioinformatics
/ Biomedical and Life Sciences
/ CD8 antigen
/ CD8 lymphocytes
/ CD8+ T cell epitope
/ Cleavage
/ Computational Biology/Bioinformatics
/ Computer Appl. in Life Sciences
/ Correlation coefficient
/ Correlation coefficients
/ COVID-19 - virology
/ Datasets
/ Dendritic cells
/ Discrimination
/ Epitopes
/ Epitopes, T-Lymphocyte - chemistry
/ Epitopes, T-Lymphocyte - metabolism
/ Humans
/ Identification and classification
/ Immunological research
/ Immunoproteasome
/ Internet
/ Life Sciences
/ Lymphocytes
/ Lymphocytes T
/ Methodology
/ Microarrays
/ Peptide
/ Peptides
/ Peptides - chemistry
/ Peptides - metabolism
/ Prediction
/ Predictions
/ Proteasome
/ Proteasome Endopeptidase Complex - metabolism
/ Proteasomes
/ Proteins
/ Proteomics - methods
/ SARS-CoV-2
/ SARS-CoV-2 - chemistry
/ SARS-CoV-2 - metabolism
/ Servers
/ Severe acute respiratory syndrome coronavirus 2
/ Software
/ Structure
/ Ubiquitin-proteasome system
/ Viral Proteins - chemistry
/ Viral Proteins - metabolism
2020
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Identification of CD8+ T cell epitopes through proteasome cleavage site predictions
Journal Article
Identification of CD8+ T cell epitopes through proteasome cleavage site predictions
2020
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Overview
Background
We previously introduced PCPS (Proteasome Cleavage Prediction Server), a web-based tool to predict proteasome cleavage sites using
n-grams
. Here, we evaluated the ability of PCPS immunoproteasome cleavage model to discriminate CD8
+
T cell epitopes.
Results
We first assembled an epitope dataset consisting of 844 unique virus-specific CD8
+
T cell epitopes and their source proteins. We then analyzed cleavage predictions by PCPS immunoproteasome cleavage model on this dataset and compared them with those provided by a related method implemented by NetChop web server. PCPS was clearly superior to NetChop in term of sensitivity (0.89 vs. 0.79) but somewhat inferior with regard to specificity (0.55 vs. 0.60). Judging by the Mathew’s Correlation Coefficient, PCPS predictions were overall superior to those provided by NetChop (0.46 vs. 0.39). We next analyzed the power of C-terminal cleavage predictions provided by the same PCPS model to discriminate CD8
+
T cell epitopes, finding that they could be discriminated from random peptides with an accuracy of 0.74. Following these results, we tuned the PCPS web server to predict CD8
+
T cell epitopes and predicted the entire SARS-CoV-2 epitope space.
Conclusions
We report an improved version of PCPS named iPCPS for predicting proteasome cleavage sites and peptides with CD8
+
T cell epitope features. iPCPS is available for free public use at
https://imed.med.ucm.es/Tools/pcps/
.
Publisher
BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC
Subject
/ Binding sites (Biochemistry)
/ Biomedical and Life Sciences
/ Cleavage
/ Computational Biology/Bioinformatics
/ Computer Appl. in Life Sciences
/ Datasets
/ Epitopes
/ Epitopes, T-Lymphocyte - chemistry
/ Epitopes, T-Lymphocyte - metabolism
/ Humans
/ Identification and classification
/ Internet
/ Peptide
/ Peptides
/ Proteasome Endopeptidase Complex - metabolism
/ Proteins
/ Servers
/ Severe acute respiratory syndrome coronavirus 2
/ Software
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