V
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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Journal ArticleDOI
Melan-A/MART-151–73 represents an immunogenic HLA-DR4-restricted epitope recognized by melanoma-reactive CD4+ T cells
Hassane M. Zarour,John M. Kirkwood,Lisa S. Kierstead,Wolfgang Herr,Vladimir Brusic,Craig L. Slingluff,John Sidney,Alessandro Sette,Walter J. Storkus +8 more
TL;DR: Data support the use of this Melan-A/MART-1 DR4-restricted melanoma epitope in future immunotherapeutic trials designed to generate, augment, and quantitate specific CD4+ T cell responses against melanoma in vivo.
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ANTIMIC: a database of antimicrobial sequences.
Manisha Brahmachary,Manisha Brahmachary,S. P. T. Krishnan,Judice L. Y. Koh,Asif M. Khan,Seng Hong Seah,Tin Wee Tan,Vladimir Brusic,Vladimir Brusic,Vladimir B. Bajic +9 more
TL;DR: A comprehensive database of known and putative AMPs, which contains approximately 1700 of these peptides, is developed and integrated with tools to facilitate efficient extraction of data and their analysis at molecular level, as well as search for new AMPs.
Journal ArticleDOI
Methods for prediction of peptide binding to MHC molecules: A comparative study
TL;DR: The ability of bioinformatic methods to reliably predict MHC binding peptides, and thereby potential T-cell epitopes, has major implications for clinical immunology, particularly in the area of vaccine design.
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MHCPEP, a database of MHC-binding peptides: update 1996.
TL;DR: MHCPEP is a curated database comprising over 9000 peptide sequences known to bind MHC molecules that can be accessed via Internet using WWW, FTP or Gopher.
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MULTIPRED: a computational system for prediction of promiscuous HLA binding peptides
Guang Lan Zhang,Asif M. Khan,Asif M. Khan,Kellathur N. Srinivasan,J. Thomas August,Vladimir Brusic,Vladimir Brusic +6 more
TL;DR: Testing results show that MULTIPRED is both sensitive and specific and it has good predictive ability, and can be used for the mapping of promiscuous T-cell epitopes as well as the regions of high concentration of these targets—termed T- cell epitope hotspots.