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EpiPred specifications

Information


Unique identifier OMICS_06751
Name EpiPred
Alternative name Epitope Prediction
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Computer skills Advanced
Stability Stable
Maintained Yes

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Publication for Epitope Prediction

EpiPred in publications

 (14)
PMCID: 5763123
PMID: 29445754
DOI: 10.1155/2017/2680160

[…] assays, among others [, ]. traditional epitope identification has depended entirely upon experimental techniques, being costly and time-consuming. thereby, scientists have developed and implemented epitope prediction methods that facilitate epitope identification and decrease the experimental load associated with it. here, we will first analyze aspects of antigen recognition by t- and b-cells […]

PMCID: 5472325
PMID: 28582449
DOI: 10.1371/journal.ppat.1006361

[…] definition of epitope binding (based on the rank of a variant peptide relative to all other peptides of the hiv-1 proteome []; and ) and with alternative, independent epitope prediction software (epipred; ) confirmed our finding that the frequency of selecting hla class i molecules is low., next, we extended the analysis to the other viral polymorphisms associated with inhibitory kir genes […]

PMCID: 5739537
PMID: 29199956
DOI: 10.7554/eLife.29023.046

[…] as probes to profile epitope specificities of polyclonal serum samples and to investigate correlates of vaccine protection or efficacy., to characterize potential results from purely computational epitope prediction, we applied to all of our targets a state-of-the-art predictor, the computational component of the integrated epitope localization method pease (). similar to episcope, pease […]

PMCID: 5227168
PMID: 28127568
DOI: 10.1155/2016/6760830

[…] were developed based on very small datasets and used randomly selected peptides instead of experimentally verified nonepitopes as a negative training set []. currently used methods for continuous epitope prediction combine two or more residue properties with machine learning approaches (summarized in tables and ). in general, prediction methods can be divided based on the level of input […]

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

[…] techniques holds a particular promise in being able to identify epitopes with a much higher throughput than crystallization., the most recent general antibody-specific epitope predictor is epipred []. its protocol requires the structure of an antibody (which can be a homology model) and the structure of the antigen. antigenic epitopes are identified by performing simplified surface […]


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EpiPred institution(s)
Department of Statistics, Oxford University, Oxford, UCB Pharma, Slough, UK; Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai, China

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