PREDIVAC: CD4+ T-cell epitope prediction for vaccine design that covers 95% of HLA class II DR protein diversity.
about
A Brief Review of Computer-Assisted Approaches to Rational Design of Peptide VaccinesEpitope design of L1 protein for vaccine production against Human Papilloma Virus types 16 and 18In silico analysis and experimental validation of Mycobacterium tuberculosis -specific proteins and peptides of Mycobacterium tuberculosis for immunological diagnosis and vaccine development.Identification of putative unique immunogenic ZIKV and DENV1-4 peptides for diagnostic cellular based tests.Computer-aided design of T-cell epitope-based vaccines: addressing population coverage.Novel in silico tools for designing peptide-based subunit vaccines and immunotherapeutics.Combination of In Silico Methods in the Search for Potential CD4(+) and CD8(+) T Cell Epitopes in the Proteome of Leishmania braziliensis.From ZikV genome to vaccine: in silico approach for the epitope-based peptide vaccine against Zika virus envelope glycoprotein.Optimization of multi-epitopic HIV-1 recombinant protein expression in prokaryote system and conjugation to mouse DEC-205 monoclonal antibody: implication for in-vivo targeted delivery of dendritic cells.Discovery of T-cell Driven Subunit Vaccines from Zika Virus Genome: An Immunoinformatics Approach.Quantification of Inter-Sample Differences in T-Cell Receptor Repertoires Using Sequence-Based Information.Fundamentals and Methods for T- and B-Cell Epitope Prediction.Polymorphism in merozoite surface protein-7E of Plasmodium vivax in Thailand: Natural selection related to protein secondary structure.
P2860
Q24261117-CDDBA938-EC68-4F0C-86A0-E0EB315A3E51Q33743226-2045CFD8-8FFB-4607-B2AC-EDFC68D59B3DQ38134631-3ABDBB87-48FB-49E0-AF8E-BB9B179EA583Q38157439-BBBA167C-A169-4304-B878-7247CE85A4BDQ38554524-A75CF519-2A29-4690-BF47-F534C51BE32AQ38789472-D963742B-A383-458F-9497-8D37A62F4F99Q38981348-7AA67F91-5FA1-4C00-A1D6-47C16DA93CE4Q40053057-63CC7BD4-83B5-45F8-80D2-E2A70D631B9AQ42136176-76A0F2A7-2A20-4683-A10B-49434CC2C5C7Q43046894-18A5C177-FD44-48A2-9090-5E7AD0DD4C38Q46063281-112A5838-F7B0-444A-A3A1-FCD3B07FBCC1Q49594989-5B908BE3-48B4-420C-B818-2FEEB5801CE3Q55363816-23E2B1BD-5B4D-4915-B69F-4FE965F6F2C1
P2860
PREDIVAC: CD4+ T-cell epitope prediction for vaccine design that covers 95% of HLA class II DR protein diversity.
description
2013 nî lūn-bûn
@nan
2013 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
PREDIVAC: CD4+ T-cell epitope ...... class II DR protein diversity.
@ast
PREDIVAC: CD4+ T-cell epitope ...... class II DR protein diversity.
@en
type
label
PREDIVAC: CD4+ T-cell epitope ...... class II DR protein diversity.
@ast
PREDIVAC: CD4+ T-cell epitope ...... class II DR protein diversity.
@en
prefLabel
PREDIVAC: CD4+ T-cell epitope ...... class II DR protein diversity.
@ast
PREDIVAC: CD4+ T-cell epitope ...... class II DR protein diversity.
@en
P2860
P356
P1433
P1476
PREDIVAC: CD4+ T-cell epitope ...... class II DR protein diversity.
@en
P2093
Jonathan J Ellis
Patricio Oyarzún
P2860
P2888
P356
10.1186/1471-2105-14-52
P577
2013-02-14T00:00:00Z
P5875
P6179
1037984469