Epitope-Evaluator: An interactive web application to study predicted T-cell epitopes.
Epitope-Evaluator: An interactive web application to study predicted T-cell epitopes.
复制标题
DOI:
10.1371/journal.pone.0273577
复制
发表时间:
2022
期刊:
影响因子:
3.7
通讯作者:
中科院分区:
文献类型:
--
作者:
Multiple immunoinformatic tools have been developed to predict T-cell epitopes from protein amino acid sequences for different major histocompatibility complex (MHC) alleles. These prediction tools output hundreds of potential peptide candidates which require further processing; however, these tools are either not graphical or not friendly for non-programming users. We present Epitope-Evaluator, a web tool developed in the Shiny/R framework to interactively analyze predicted T-cell epitopes. Epitope-Evaluator contains six tools providing the distribution of epitopes across a selected set of MHC alleles, the promiscuity and conservation of epitopes, and their density and location within antigens. Epitope-Evaluator requires as input the fasta file of protein sequences and the output prediction file coming out from any predictor. By choosing different cutoffs and parameters, users can produce several interactive plots and tables that can be downloaded as JPG and text files, respectively. Using Epitope-Evaluator, we found the HLA-B*40, HLA-B*27:05 and HLA-B*07:02 recognized fewer epitopes from the SARS-CoV-2 proteome than other MHC Class I alleles. We also identified shared epitopes between Delta, Omicron, and Wuhan Spike variants as well as variant-specific epitopes. In summary, Epitope-Evaluator removes the programming barrier and provides intuitive tools, allowing a straightforward interpretation and graphical representations that facilitate the selection of candidate epitopes for experimental evaluation. The web server Epitope-Evaluator is available at https://fuxmanlab.shinyapps.io/Epitope-Evaluator/
登录
查看更多内容
DOI:
10.1186/1745-7580-3-3
发表时间:
2007-02-21
期刊:
Immunome research
影响因子:
--
作者:
Beaver JE;Bourne PE;Ponomarenko JV
通讯作者:
Ponomarenko JV
影响因子:
9.2
作者:
Jia Q;Bielefeldt-Ohmann H;Maison RM;Masleša-Galić S;Cooper SK;Bowen RA;Horwitz MA
通讯作者:
Horwitz MA
影响因子:
9.3
作者:
O'Donnell, Timothy J.;Rubinsteyn, Alex;Laserson, Uri
通讯作者:
Laserson, Uri
影响因子:
8.8
作者:
Li Y;Ma ML;Lei Q;Wang F;Hong W;Lai DY;Hou H;Xu ZW;Zhang B;Chen H;Yu C;Xue JB;Zheng YX;Wang XN;Jiang HW;Zhang HN;Qi H;Guo SJ;Zhang Y;Lin X;Yao Z;Wu J;Sheng H;Zhang Y;Wei H;Sun Z;Fan X;Tao SC
通讯作者:
Tao SC
影响因子:
6.4
作者:
BAUMGARTNER, JD;OBRIEN, TX;ZIEGLER, EJ
通讯作者:
ZIEGLER, EJ