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Vladimir Brusic

Researcher at Nazarbayev University

Publications -  224
Citations -  14646

Vladimir Brusic is an academic researcher from Nazarbayev University. The author has contributed to research in topics: Epitope & Antigen. The author has an hindex of 50, co-authored 212 publications receiving 13727 citations. Previous affiliations of Vladimir Brusic include Griffith University & Harvard University.

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A novel H2A-E+ transgenic model susceptible to human but not mouse thyroglobulin-induced autoimmune thyroiditis: identification of mouse pathogenic epitopes.

TL;DR: In this paper, the A−E+ transgenic mouse is highly susceptible to human thyroglobulin (hTg)-induced thyroiditis, but strongly tolerant to a challenge by mTg-primed T cells.

Data Learning: Understanding Biological Data

TL;DR: This work defines a Data Learning Process (DLP), a formalization aimed at facilitating knowledge discovery in biological databases, which comprises a series of steps for comprehension of biological data within the bioinformatics framework.
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FluKB: a knowledge-based system for influenza vaccine target discovery and analysis of the immunological properties of influenza viruses

TL;DR: FluKB is representation of a new generation of databases that integrates data, analytical tools, and analytical workflows that enable comprehensive analysis and automatic generation of analysis reports.
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Computational and Bioinformatics Techniques for Immunology

TL;DR: The results illustrate that the integration of protein interaction networks with the most comprehensive database of gene expression profiles of the immune cells can be used to generate hypotheses into the underlying mechanisms governing the differentiation and the differential functional activity across the immune cell lineage.
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Proteins accessible to immune surveillance show significant T-cell epitope depletion: Implications for vaccine design.

TL;DR: It is suggested that pathogens have evolved under the influence of the host immune system so that surface proteins are depleted in potential MHC-binding peptides, and that identification of a protein likely to contain a single immuno-dominant epitope is likely to be a productive strategy for vaccine design.