COBEpro: a novel system for predicting continuous B-cell epitopes
about
Improved method for linear B-cell epitope prediction using antigen's primary sequenceBEST: improved prediction of B-cell epitopes from antigen sequencesEpitopia: a web-server for predicting B-cell epitopes.Predicting interaction sites from the energetics of isolated proteins: a new approach to epitope mapping.Structural analysis of B-cell epitopes in antibody:protein complexesComputational prediction of conformational B-cell epitopes from antigen primary structures by ensemble learning.EPSVR and EPMeta: prediction of antigenic epitopes using support vector regression and multiple server results.High-throughput prediction of protein antigenicity using protein microarray data.Development of plant-produced protein body vaccine candidates for bluetongue virus.SVM-based prediction of linear B-cell epitopes using Bayes Feature Extraction.Determinants of antigenicity and specificity in immune response for protein sequencesPrediction of conformational B-cell epitopes from 3D structures by random forests with a distance-based feature.Identification of lipoprotein MslA as a neoteric virulence factor of Mycoplasma gallisepticum.Proteomics characterization of cytoplasmic and lipid-associated membrane proteins of human pathogen Mycoplasma fermentans M64.Recent advances in B-cell epitope prediction methodsDiagnostic peptide discovery: prioritization of pathogen diagnostic markers using multiple features.B-cell epitope prediction through a graph modelConformational B-cell epitope prediction on antigen protein structures: a review of current algorithms and comparison with common binding site prediction methods.Mapping the epitopes of a neutralizing antibody fragment directed against the lethal factor of Bacillus anthracis and cross-reacting with the homologous edema factorComputational and experimental validation of B and T-cell epitopes of the in vivo immune response to a novel malarial antigenAmyloid form of ovalbumin evokes native antigen-specific immune response in the host: prospective immuno-prophylactic potential.Building classifier ensembles for B-cell epitope prediction.EPMLR: sequence-based linear B-cell epitope prediction method using multiple linear regression.Pan-Serotype Diagnostic for Foot-and-Mouth Disease Using the Consensus Antigen of Nonstructural Protein 3B.The Novel Gene CRNDE Encodes a Nuclear Peptide (CRNDEP) Which Is Overexpressed in Highly Proliferating Tissues.A novel multi-epitope recombined protein for diagnosis of human brucellosis.Virtual interactomics of proteins from biochemical standpoint.A Platform for Designing Genome-Based Personalized Immunotherapy or Vaccine against Cancer.SEPIa, a knowledge-driven algorithm for predicting conformational B-cell epitopes from the amino acid sequence.Immunoinformatics and epitope prediction in the age of genomic medicine.Antigenicity and Immunogenicity in HIV-1 Antibody-Based Vaccine DesignT-cell epitope vaccine design by immunoinformatics.Prediction of B-Cell Epitopes in Listeriolysin O, a Cholesterol Dependent Cytolysin Secreted by Listeria monocytogenes.Propensity score estimation: neural networks, support vector machines, decision trees (CART), and meta-classifiers as alternatives to logistic regression.Immunoinformatics: an integrated scenario.Inadequate Reference Datasets Biased toward Short Non-epitopes Confound B-cell Epitope Prediction.Peptide-based vaccinology: experimental and computational approaches to target hypervariable viruses through the fine characterization of protective epitopes recognized by monoclonal antibodies and the identification of T-cell-activating peptides.Personalized cancer immunotherapy using Systems Medicine approaches.Novel in silico tools for designing peptide-based subunit vaccines and immunotherapeutics.Analysis of Conformational B-Cell Epitopes in the Antibody-Antigen Complex Using the Depth Function and the Convex Hull
P2860
Q21559662-B6DDB0FA-B6B5-4F4D-ABE8-F0309B677B86Q28727926-1A182A57-E0D9-4606-A387-926D438DC963Q30380632-E9750547-AEA2-4FD3-BCF5-E85CBC6531F2Q30388806-FFE6DCA2-F3B2-4AC2-9E36-FCB1BC9841ABQ30525358-4EBB6CDD-7F91-4445-B1A6-4C81BA307D48Q31087675-E9AC5940-12C3-478F-9989-15EAF6F88A64Q33634626-0C184350-3475-4704-A89C-AB844BB2CD4BQ33713954-26626E5A-46E9-4D75-95B3-E119F9D86C9CQ33743132-B6140BE6-0AFA-42F8-99FB-1F4840CEB48BQ33766721-796DA235-2B08-45AF-87B6-E8C40B005BB8Q33938584-C39E0B8F-EB75-4186-A193-E0AF655439E3Q33994173-EB2E558B-45A1-4E77-90A7-D1F9FADE9753Q34045156-4B63925B-00BB-4D66-8B70-F62013A189FBQ34247205-A69C9035-0F50-4FE7-9EB1-946DADA8D03FQ34312506-316849E9-65B8-4FDB-84FF-168229E5D148Q34524979-259AAE7E-E0EF-4410-8630-E7F759D473B0Q34529936-9C683D4D-9557-4A7F-ABF7-F7912D507021Q34689511-7FD1BB39-5956-4599-972B-9217E958DC3AQ34761514-F6E1CB9A-F669-4461-BEDC-635EAEE3E861Q34971618-44AF8F42-1379-4CAD-8D46-3444FE7832FDQ35080284-E09C07CF-C4F6-422D-B29A-DD3B84BB3665Q35271965-C52B2DDB-10C6-49FF-8FEC-27758FE2A7E9Q35530145-C445DDDF-85BA-478F-8DAD-CAD5F8D28786Q35607445-6EDFC432-8237-4A3E-9BF7-5528E308C4CFQ35632884-583DE30F-709D-41F3-9265-4DD20C643AE8Q36024345-D7C01BAE-1A94-44DF-8B7D-87426F987FD1Q36178385-FA9550D6-331E-4CE4-8D76-6766BE850A93Q36188919-277E7DF9-AFD6-4F29-9142-B186480AE556Q36275965-84712567-7584-4855-AA48-7F0EE1E86A82Q36304147-80CE3DCD-575B-4089-98D8-C191A74EB7E5Q36447540-6B60F40F-7459-4B45-94EE-7FECD86C2721Q36702419-2F9110DC-5EB0-478B-A81A-72EBA5862548Q37541661-25AE0FA1-648F-4012-9EE7-A2EFA58D4C13Q37772619-27F05044-FAC8-49AC-A4EE-0A7A79DD57CFQ37781086-586FD85D-1E4D-4006-972F-F646CA497432Q37836386-6036C73D-091D-4B14-9D6A-060A8A64430EQ38123488-9F691EF2-2CB9-4B56-84A9-88BC40F48412Q38547040-E7AFC16F-CFA1-49A2-B17F-59F7AF83FC15Q38789472-5015D804-5DB5-46B5-ABB4-9CD6EB612F86Q41842045-405748CB-CA50-4FB9-996B-F896007DE39A
P2860
COBEpro: a novel system for predicting continuous B-cell epitopes
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on 10 December 2008
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
@da
vědecký článek
@cs
name
COBEpro: a novel system for predicting continuous B-cell epitopes
@en
COBEpro: a novel system for predicting continuous B-cell epitopes.
@nl
type
label
COBEpro: a novel system for predicting continuous B-cell epitopes
@en
COBEpro: a novel system for predicting continuous B-cell epitopes.
@nl
prefLabel
COBEpro: a novel system for predicting continuous B-cell epitopes
@en
COBEpro: a novel system for predicting continuous B-cell epitopes.
@nl
P2860
P356
P1476
COBEpro: a novel system for predicting continuous B-cell epitopes
@en
P2093
Michael J Sweredoski
P2860
P304
P356
10.1093/PROTEIN/GZN075
P50
P577
2008-12-10T00:00:00Z