Epitope Prediction Tools



Welcome to Epitope Prediction Tools Page of ImmCancer

On this page, we have enlisted epitope prediction tools, which may be further used for designing cancer immunotherapy. The given table comprises genome profile repositories. The first column represents the Name of the database, and the rest of the columns represents the Year, Description, Reference, and working status of the database. Click on the headers to sort them accordingly.


NameYearDescriptionReference
ConvMHC2017Peptide-MHC class I binding predictions using the DCNN
EpiJen v1.02006Predicting MHC class I, proteasome cleavage and TAP-binding to T-Cell
MHCMIR2007Prediction of the binding affinity of MHC-II peptides
MHCMotifViewer2010Browsing and Visualization of MHC Class I and Class II Binding Motifs
MHCPred2003Quantitatively predict peptide binding to MHC
NetChop 3.1 Server2005Webserver based on neural network predictions for cleavage sites of the human proteasome
NetChop v. 2.02002Prediction of proteasome cleavage motifs by neural networks
NetCTL 1.2 Server2007Prediction of human cytotoxic T-Lymphocyte epitopes in a given protein sequence
NetCTL-1.02005An integrative approach to CTL epitope prediction.
NetMHCpan2009Prediction of binding to MHC class I molecules
NetMHCpan 3.02016Prediction of binding to MHC class I molecules
NetMHCpan 4.02017Prediction of binding to MHC class I molecules
NetMHCpan 4.12020Webserver predicts binding of peptides to any MHC molecule of known sequence using ANNs
PEPVAC2005Prediction of MHC Class I epitopes
PickPocket 1.12009PickPocket server predicts binding of peptides to any known MHC molecule using PSSM
PickPocket 1.1 Server2009Prediction of peptides binding to any known MHC molecule
PSSMHCpan 1.02017PSSM-based software predict peptide binding affinity with a broad coverage of HLA class I alleles
RANKPEP2004Prediction of peptide-MHC class I and II binding
SMMPMBEC2009Binding interactions between MHC class I molecules and peptide ligands
SVRMHC2006This server predicts peptide-MHC binding affinities using SVRMHC models
VaxiJen2007Webserver for prediction of protective antigens, tumour antigens and subunit vaccines
ABCpred2006Prediction of continuous B-cell epitopes in an antigen using recurrent neural network
AntiCP 2.02020An updated model for predicting anticancer peptides
BCEpred2004Linear B-cell epitope prediction
BCPREDS2008Linear B-cell epitope prediction
BepiPred 2.02017Linear B-cell epitope prediction
BEpro2008Discontinuous B-cell epitope prediction
CBTOPE2010Prediction of Conformational B-cell from sequence.

CEP2005A conformational epitope prediction server
Class I Immunogenicity2013Prediction of immunogenicity of a class I peptide MHC complex
CTLPred2004Direct method for predicting CTL epitopes
Cytopred2008CytoPred: a server for prediction and classification of cytokines
CytoSVM2007Identification of cytokine-receptor interactions
DiscoTope 2.02012Predicts discontinuous B-epitope in structure.
ElliPro2008Identifying discontinuous antibody epitopes in the protein regions of the antigen.
EnACP2020An Ensemble Learning Model for Identification of Anticancer Peptides
EpIC2015Allow the optimization of epitopes of peptide used for vaccine applications
EpiDOCK2013Prediction of MHC-II binders.
EpiJen v1.02006Predicting MHC class I, proteasome cleavage and TAP-binding to T-Cell
EpiPred2014Predicts the structural epitopic region of antigen, specific to the structure of given antibody.
EPSVR2010Prediction of Conformational antigenic epitopes.
Expitope2015A web server for epitope expression
Expitope 2.02017A tool to assess immunotherapeutic antigens for their potential cross-reactivity against naturally expressed proteins in human tissues
IFNepitope2013Designing of interferon-gamma inducing MHC class-II binders
IgPred2013Linear B-cell epitope prediction for class-specific antibodies 
IL10 pred2017Prediction of Interleukin-10 inducing peptides
IL17eScan2017A Tool for the Identification of Peptides Inducing IL-17 Response
IL2 Pred2021In silico model for predicting IL-2 inducing peptides in human
IL4 pred2013Designing and Disovering of Interleukin-4 inducing peptides
IL6 Pred2020Computer-aided prediction and design of IL-6 inducing peptides: IL-6 plays a crucial role in COVID-19
LBEEP2015Linear B-cell epitope prediction.

Lbtope2013Linear B-cell epitope prediction
MLACP2017Machine-learning-based prediction of anticancer peptides
NetTepi2014Prediction of T-cell epitopes
PEASE2014Predicting antibody-specific B-cell epitope.
ProTECT2020Prediction of T-Cell Epitopes for Cancer Therapy
SVMTriP2012Linear B-epitope prediction
SVRMHC2006This server predicts peptide-MHC binding affinities using SVRMHC models
Vactarbac2018A Web Resource for Designing Subunit Vaccine Against Major Pathogenic Species of Bacteria