Prediction of Bacterial Pathogenicity - DTU Orbit

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Prediction of Bacterial Pathogenicity

Project: PhD

With the same participants

Identification of the features contributing to immunodominance
Project: PhD
Analysis of the T cell immune response in Yellow fever virus and HIV infections
Project: PhD
Prediction of antigen_BCR interactions based on high throughput peptide chip data and prediction of MHC-peptide-TCR Interactions
Project: PhD
Bioinformatics approaches to identify antimicrobial, virulence and other important genes in bacteria
Project: PhD
Target profilling of drugs
Project: PhD
Client-Server Rapid Taxonomy Identification
Project: PhD
Epitope prediction methods
Project: PhD
Optimizing and Broadening the Breadth of a VAR2CSA DBL4 Based Placental Malaria Vaccine by in silico Sequence Analysis
Project: PhD
Bioinformatics for high-density peptide microarrays
Project: PhD
Development of a Multi-Stage Vaccine against Paratuberculosis in Cattle
Project

Cosentino, Salvatore (Phd Student)
Larsen, Mette Voldby (Supervisor)
Lund, Ole (Main Supervisor)

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Status	Current
Period	15-11-10 → 14-11-13

Financing source	Internal funding (public)
Research programme	Forskningsrådsfinansiering

ID: 2332148