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EPMeta specifications


Unique identifier OMICS_04205
Name EPMeta
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Computer skills Advanced
Stability Stable
Maintained Yes


No version available

Publication for EPMeta

EPMeta citations


An Introduction to B Cell Epitope Mapping and In Silico Epitope Prediction

J Immunol Res
PMCID: 5227168
PMID: 28127568
DOI: 10.1155/2016/6760830

[…] Prediction with Support Vector Regression server (EPSVR) employs vector regression to integrate same scores as are combined in EPCES and achieves AUC value of 0.597. EPSVR is integrated in metaserver EPMeta together with five existing prediction servers (EPCES, EPITOPIA, SEPPA, PEPITO, and DiscoTope 1.2) and provides consensus prediction results. The performance of EPMeta is AUC value of 0.6, whic […]


Immunoinformatics and epitope prediction in the age of genomic medicine

Genome Med
PMCID: 4654883
PMID: 26589500
DOI: 10.1186/s13073-015-0245-0

[…] ave been developed. A good review, including a benchmark, for discontinuous epitopes was published by Yao and colleagues in 2013 []. Yao et al. tested predictions based on antigen protein structures. EPMeta [] achieved the best AUC (0.638) for conformational B-cell epitope prediction and an overall accuracy of 25.6 %. All other predictors had AUCs lower than 0.6 and an accuracy worse than 25 %. Th […]


Analysis of Conformational B Cell Epitopes in the Antibody Antigen Complex Using the Depth Function and the Convex Hull

PLoS One
PMCID: 4526569
PMID: 26244562
DOI: 10.1371/journal.pone.0134835

[…] et al. [] utilizes the random forest model, while Liu and Hu [] uses logistic regression with B-factors and the relative accessible surface area as inputs. Bepar is an association patterns model []. EPMeta is a consensus model []. Epitopia [, ] utilizes the Naïve Bayes model, fusing physicochemical and structural-geometrical properties from a surface patch.Although many methods are proposed, the […]


Progress and challenges in predicting protein interfaces

Brief Bioinform
PMCID: 4719070
PMID: 25971595
DOI: 10.1093/bib/bbv027

[…] e any antibody information (e.g. CEP [], DiscoTope [, ], ElliPro [, ], PEPITO [], PEPOP [], SEPPA [, ], EPITOPIA [] and others [, ]). Consensus-based methods such as EPCES [] or the meta-server EPSVR/EpMETA [] are currently among the best-performing algorithms in this area []. […]


Conformational B Cell Epitopes Prediction from Sequences Using Cost Sensitive Ensemble Classifiers and Spatial Clustering

Biomed Res Int
PMCID: 4083607
PMID: 25045691
DOI: 10.1155/2014/689219

[…] published approaches for predicting conformational B-cell epitopes are used for comparison with our new proposed method. These approaches include CEP [], DiscoTope [], SEPPA [], PEPITO [], EPSVR [], EPMeta [], Epitopia [], EPCES [], and ElliPro []. These approaches can be classified into two types according to the datasets for model building. CEP, Ellipro, SEPPA, PEPITO, DiscoTope, and Epitopia a […]


Bioinformatics Resources and Tools for Conformational B Cell Epitope Prediction

PMCID: 3736542
PMID: 23970944
DOI: 10.1155/2013/943636

[…] cts []. The study of antigen and antibody interaction pattern revealed the importance of antibody information in epitopes prediction as well. In the same year, two novel server applications EPSVR and EPMeta were presented by the same author of EPCES []. EPSVR uses a support vector regression method to integrate six scoring terms as EPCES, while EPMeta is a metaserver which combined with EPSVR, EPC […]


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EPMeta institution(s)
Jacobs University Bremen, Germany

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