V. Brusic

Vladimir Brusic, John Zeleznikow, T. Sturniolo, 1999, ICONIP'99. ANZIIS'99 & ANNES'99 & ACNN'99. 6th International Conference on Neural Information Processing. Proceedings (Cat. No.99EX378).

CandiVF – Candida albicans Virulence Factor Database

J. Koh, V. Brusic, A. Veeramani, 2005, International Journal of Peptide Research and Therapeutics.

Molecular mimicry-from hypothesis towards evidence.

V. Brusic, L. Harrison, G. Rudy, 1997, Immunology today.

Using Gaussian Process with Test Rejection to Detect T-Cell Epitopes in Pathogen Genomes

Mikael Bodén, Vladimir Brusic, Marcus Gallagher, 2010, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

West Nile Virus T-Cell Ligand Sequences Shared with Other Flaviviruses: a Multitude of Variant Sequences as Potential Altered Peptide Ligands

T. Tan, V. Brusic, F. Lemonnier, 2012, Journal of Virology.

A shared B-cell clonotype in patients with Interstitial Cystitis/Bladder Pain Syndrome presenting with Hunner lesions

D. Keskin, V. Brusic, L. Birder, 2022, Continence Reports.

Comprehensive analysis of cancer-associated somatic mutations in class I HLA genes

K. Cibulskis, G. Getz, P. Dixon, 2015, Nature Biotechnology.

Direct evidence for the expression of multiple endogenous retroviruses in the synovial compartment in rheumatoid arthritis.

V. Brusic, G. McColl, L. Harrison, 1997, Arthritis and rheumatism.

Intelligent system for promoter recognition 1 INTELLIGENT SYSTEM FOR VERTEBRATE PROMOTER RECOGNITION

V. Bajic, V. Brusic, S. Seah, 2001 .

Computational tools for the study of allergens

V Brusic, N Petrovsky, S M Gendel, 2003, Allergy.

Bioinformatics for characterisation of allergens, allergenicity and allergic crossreactivity.

Vladimir Brusic, Nikolai Petrovsky, N. Petrovsky, 2003, Trends in immunology.

Food authentication: Techniques, trends & emerging approaches

Federica Camin, Georgios P. Danezis, Aristidis S. Tsagkaris, 2016 .

ALLERDB database and integrated bioinformatic tools for assessment of allergenicity and allergic cross-reactivity.

J. Koh, V. Brusic, A. Falus, 2006, Cellular Immunology.

Identification of human leucocyte antigen (HLA)‐A*0201‐restricted cytotoxic T lymphocyte epitopes derived from HLA‐DOβ as a novel target for multiple myeloma

V. Brusic, E. Reinherz, N. Munshi, 2013, British journal of haematology.

MHCPEP, a database of MHC-binding peptides: update 1996

Vladimir Brusic, George B. Rudy, Leonard C. Harrison, 1997, Nucleic Acids Res..

MHCPEP, a database of MHC-binding peptides: update 1996

Vladimir Brusic, George B. Rudy, Leonard C. Harrison, 1997, Nucleic Acids Res..

Artificial Neural Networks for classification of single cell gene expression

D. Keskin, V. Brusic, L. Chitkushev, 2021, bioRxiv.

Prediction of therapy outcomes of CLL using gene expression intensity, clustering, and ANN classification of single cell transcriptomes

D. Keskin, V. Brusic, A. Bellotti, 2021 .

Prediction of PBMC Cell Types Using scRNAseq Reference Profiles

Derin B. KESKIN, Vladimir BRUSIC, Lubomir T. Chitkushev, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Single-cell mRNA Profiles in PBMC

Lubomir T. Chitkushev, Lou Chitkushev, Derin B. Keskin, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Dana-Farber repository for machine learning in immunology.

Vladimir Brusic, Guang Lan Zhang, Derin B Keskin, 2011, Journal of immunological methods.

Evaluation of MHC-II peptide binding prediction servers: applications for vaccine research

Vladimir Brusic, Guanglan Zhang, Honghuang Lin, 2008, BMC Bioinformatics.

Hotspot Hunter: a computational system for large-scale screening and selection of candidate immunological hotspots in pathogen proteomes

Chee Keong Kwoh, Vladimir Brusic, Guanglan Zhang, 2008, BMC Bioinformatics.

MULTIPRED: a computational system for prediction of promiscuous HLA binding peptides

Vladimir Brusic, Guanglan Zhang, Asif M. Khan, 2005, Nucleic Acids Res..

Bioinformatics tools for identifying T-cell epitopes

Vladimir Brusic, Darren R. Flower, V. Brusic, 2004 .

Computational binding assays of antigenic peptides

Vladimir Brusic, John Zeleznikow, V. Brusic, 2004, Letters in Peptide Science.

TANTIGEN: a comprehensive database of tumor T cell antigens

Vladimir Brusic, Guang Lan Zhang, Lars Rønn Olsen, 2017, Cancer Immunology, Immunotherapy.

ANTIMIC: a database of antimicrobial sequences

Tin Wee Tan, Vladimir B. Bajic, Vladimir Brusic, 2004, Nucleic Acids Res..

Computer model for recognition of functional transcription start sites in RNA polymerase II promoters of vertebrates.

Vladimir Brusic, Allen Chong, Vladimir B Bajic, 2003, Journal of molecular graphics & modelling.

Computational detection of vertebrate RNA polymerase II promoters.

Vladimir Brusic, Vladimir B Bajic, V. Bajic, 2003, Methods in enzymology.

Bioinformatic strategies for better understanding of immune function

Vladimir Brusic, Nikolai Petrovsky, Christian Schönbach, 2003, Silico Biol..

Graft-versus-Leukemia Antigen CML66 Elicits Coordinated B-Cell and T-Cell Immunity after Donor Lymphocyte Infusion

Catherine J. Wu, V. Brusic, E. Reinherz, 2010, Clinical Cancer Research.

Efficacy of HLA-DRB1∗03:01 and H2E transgenic mouse strains to correlate pathogenic thyroglobulin epitopes for autoimmune thyroiditis.

Vladimir Brusic, V. Brusic, C. David, 2011, Journal of autoimmunity.

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

V. Brusic, C. David, D. Mccormick, 2007, Cellular immunology.

Characterization of a novel H2A(-)E+ transgenic model susceptible to heterologous but not self thyroglobulin in autoimmune thyroiditis: thyroiditis transfer with Vbeta8+ T cells.

V. Brusic, Q. Wan, C. David, 2001, Cellular immunology.

Automation of Gene Expression Profile Analysis in Single Cell Data

Vladimir BRUSIC, Yihan ZHANG, Luning YANG, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Biomarkers in Immunology: from Concepts to Applications

Vladimir Brusic, Lubomir T. Chitkushev, Guanglan Zhang, 2013, BCB.

Pathogenic human thyroglobulin peptides in HLA-DR3 transgenic mouse model of autoimmune thyroiditis.

Vladimir Brusic, Qiang Wan, V. Brusic, 2004, Cellular immunology.

Dragon Promoter Finder: recognition of vertebrate RNA polymerase II promoters

Vladimir B. Bajic, Vladimir Brusic, Judice L. Y. Koh, 2002, Bioinform..

Artificial Neural Networks Based Systems for Recognition of Genomic Signals and Regions: A Review

Vladimir B. Bajic, Vladimir Brusic, Artemis G. Hatzigeorgiou, 2002, Informatica.

From Informatics to Bioinformatics

Jinyan Li, Limsoon Wong, Vladimir B. Bajic, 2003, APBC.

Abstract 1093: Sensitive detection of somatic mutations in class I HLA genes reveals enrichment for functional events in cancer

K. Cibulskis, G. Getz, P. Dixon, 2015 .

PREDBALB/c: a system for the prediction of peptide binding to H2d molecules, a haplotype of the BALB/c mouse

Vladimir Brusic, Anitha Veeramani, Guanglan Zhang, 2005, Nucleic Acids Res..

Diverse Patterns of T-Cell Response against Multiple Newly Identified Human Y Chromosome–Encoded Minor Histocompatibility Epitopes

Vladimir Brusic, Roberto Bellucci, Derin B. Keskin, 2010, Clinical Cancer Research.

Temporal and antigenic analysis of dengue virus serotype 1 genome polyprotein sequences

V. Brusic, Asif M. Khan, K. N. Srinivasan, 2006, 2006 International Conference on Biomedical and Pharmaceutical Engineering.

Identification of human-to-human transmissibility factors in PB2 proteins of influenza A by large-scale mutual information analysis

Tin Wee Tan, Vladimir Brusic, J. Thomas August, 2008, BMC Bioinformatics.

Evolutionarily Conserved Protein Sequences of Influenza A Viruses, Avian and Human, as Vaccine Targets

Tin Wee Tan, Vladimir Brusic, A. T. Heiny, 2007, PloS one.

HLA Class I Molecules Human Transporters Associated with Antigen Relationship Between Peptide Selectivities of

V. Brusic, L. Harrison, D. Riganelli, 1998 .

A neural network model approach to the study of human TAP transporter

Vladimir Brusic, John Zeleznikow, Nikolai Petrovsky, 1998, Silico Biol..

Large-scale analysis of antigenic diversity of T-cell epitopes in dengue virus

Tin Wee Tan, Vladimir Brusic, Asif M. Khan, 2006, BMC Bioinformatics.

Computational resources for high-dimensional immune analysis from the Human Immunology Project Consortium

Raphael Gottardo, Vladimir Brusic, Mark M Davis, 2014, Nature Biotechnology.

Identification of novel "pathologs" (human disease-related gene candidates) from the RIKEN full-length mouse cDNA data set

Diego G. Silva, N. Petrovsky, C. Schönbach, 2003 .

Bioinformatics for study of autoimmunity

Vladimir Brusic, Nikolai Petrovsky, N. Petrovsky, 2006, Autoimmunity.

Structural bioinformatics Prediction of HLA-DQ 3 . 2 b Ligands : evidence of multiple registers in class II binding peptides

Tin Wee Tan, Joo Chuan Tong, Vladimir Brusic, 2006 .

Human Leukocyte Antigen Typing Using a Knowledge Base Coupled with a High-Throughput Oligonucleotide Probe Array Analysis

D. DeLuca, D. Keskin, V. Brusic, 2014, Front. Immunol..

Tissue of origin classification from single cell mRNA expression by Artificial Neural Networks

Vladimir BRUSIC, Bangrui ZHENG, Minjie LYU, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

NY-ESO-1 encodes DRB1*0401-restricted epitopes recognized by melanoma-reactive CD4+ T cells.

V Brusic, V. Brusic, J. Kirkwood, 2000, Cancer research.

Ultra-high resolution HLA genotyping and allele discovery by highly multiplexed cDNA amplicon pyrosequencing

Vladimir Brusic, Derin B Keskin, Ellis L Reinherz, 2012, BMC Genomics.

Optimizing vaccine development

V. Brusic, D. Hoft, Isaac G. Sakala, 2011, Cellular microbiology.

Complete-Proteome Mapping of Human Influenza A Adaptive Mutations: Implications for Human Transmissibility of Zoonotic Strains

T. Tan, V. Brusic, R. Albrecht, 2010, PloS one.

Human Leukocyte Antigen Typing Using a Knowledge Base Coupled with a High-Throughput Oligonucleotide Probe Array Analysis

D. DeLuca, D. Keskin, V. Brusic, 2014, Frontiers in Immunology.

HIV-1 broadly neutralizing antibody extracts its epitope from a kinked gp41 ectodomain region on the viral membrane.

V. Brusic, E. Reinherz, G. Wagner, 2008, Immunity.

34: Characterization of B Cell Target Antigens in Patients with Chronic Graft Versus Host Disease

Catherine J. Wu, V. Brusic, J. Ritz, 2008 .

Machine learning competition in immunology - Prediction of HLA class I binding peptides.

Harris Papadopoulos, Tomer Hertz, Vladimir Brusic, 2011, Journal of immunological methods.

Impaired tumor antigen processing by immunoproteasome-expressing CD40-activated B cells and dendritic cells

Catherine J. Wu, V. Brusic, E. Reinherz, 2011, Cancer Immunology, Immunotherapy.

A concentration-dependent analysis method for high density protein microarrays.

Vladimir Brusic, Catherine J. Wu, V. Brusic, 2008, Journal of proteome research.

Proteome informatics for cancer research: From molecules to clinic

Vladimir Brusic, Ovidiu Marina, Catherine J Wu, 2007, Proteomics.

Antigen targets of remission-inducing immune therapy are expressed on CML progenitor cells

Vladimir Brusic, Donna Neuberg, Wandi Zhang, 2010 .

Classification of Five Cell Types from PBMC Samples using Single Cell Transcriptomics and Artificial Neural Networks

Vladimir Brusic, Sen Lin, Lou Chitkushev, 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Single Cell Transcriptomics Reveals Summary Patterns Specific for PBMCs and Other Cell Types

Vladimir Brusic, Jingjie Xu, Razin Abdulrauf Shaikh, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Immunoinformatics--the new kid in town.

Vladimir Brusic, Nikolai Petrovsky, N. Petrovsky, 2003, Novartis Foundation symposium.

Prediction of MHC class II-binding peptides using an evolutionary algorithm and artificial neural network

Vladimir Brusic, Jürgen Hammer, G. Honeyman, 1998, Bioinform..

NY-ESO-1 119-143 is a promiscuous major histocompatibility complex class II T-helper epitope recognized by Th1- and Th2-type tumor-reactive CD4+ T cells.

V. Brusic, J. Kirkwood, H. Zarour, 2002, Cancer research.

MAGE-6 encodes HLA-DRbeta1*0401-presented epitopes recognized by CD4+ T cells from patients with melanoma or renal cell carcinoma.

Vladimir Brusic, John Sidney, Alessandro Sette, 2003, Clinical cancer research : an official journal of the American Association for Cancer Research.

Melan-A/MART-151–73 represents an immunogenic HLA-DR4-restricted epitope recognized by melanoma-reactive CD4+ T cells

V. Brusic, J. Sidney, A. Sette, 2000 .

Promiscuous T cell epitope prediction of Candida albicans secretory aspartyl protienase family of proteins.

V. Brusic, S. Chaiyaroj, S. Tongchusak, 2008, Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases.

Prediction of class I T-cell epitopes: evidence of presence of immunological hot spots inside antigens

Vladimir Brusic, Guanglan Zhang, Asif M. Khan, 2004, ISMB/ECCB.

CysView: protein classification based on cysteine pairing patterns

Vladimir Brusic, Judice L. Y. Koh, Asif M. Khan, 2004, Nucleic Acids Res..

MHCPEP: a database of MHC-binding peptides.

L C Harrison, V Brusic, V. Brusic, 1994, Nucleic acids research.

Conservation and Variability of West Nile Virus Proteins

T. Tan, V. Brusic, Olivo Miotto, 2009, PLoS ONE.

Rule-based knowledge aggregation for large-scale protein sequence analysis of influenza A viruses

Tin Wee Tan, Vladimir Brusic, Olivo Miotto, 2008, BMC Bioinformatics.

Biodart - catalogue of biological data aftifact examples

V. Brusic, A. Vceramani, K. Gopalakiishnan, 2006, 2006 International Conference on Biomedical and Pharmaceutical Engineering.

Neural Models for Predicting Viral Vaccine Targets

Vladimir Brusic, Guanglan Zhang, Asif M. Khan, 2005, J. Bioinform. Comput. Biol..

PREDmafa: a system for prediction of peptide binding to several MHC class I molecules in cynomolgus macaques

Vladimir Brusic, Guanglan Zhang, David H. O'Connor, 2011, BCB '11.

FIMM, a database of functional molecular immunology: update 2002

Limsoon Wong, Vladimir Brusic, Judice L. Y. Koh, 2002, Nucleic Acids Res..

Efficient discovery of immune response targets by cyclical refinement of QSAR models of peptide binding.

J Zeleznikow, V Brusic, N Petrovsky, 2001, Journal of molecular graphics & modelling.

Molecular immunology databases and data repositories.

J Zeleznikow, V Brusic, N Petrovsky, 2000, Journal of immunological methods.

Melan-A/MART-1(51-73) represents an immunogenic HLA-DR4-restricted epitope recognized by melanoma-reactive CD4(+) T cells.

V. Brusic, J. Sidney, A. Sette, 2000, Proceedings of the National Academy of Sciences of the United States of America.

Strategies for identifying and predicting islet autoantigen T-cell epitopes in insulin-dependent diabetes mellitus.

L C Harrison, V Brusic, V. Brusic, 1997, Annals of medicine.

A computational method for identification of vaccine targets from protein regions of conserved human leukocyte antigen binding

V. Brusic, E. Reinherz, L. Olsen, 2015, BMC Medical Genomics.

BlockLogo: visualization of peptide and sequence motif conservation.

Vladimir Brusic, Jing Sun, Christian Schönbach, 2013, Journal of immunological methods.

The changing field of vaccine development in the genomics era.

Vladimir Brusic, V. Brusic, J Thomas August, 2004, Pharmacogenomics.

Accurate prediction of scorpion toxin functional properties from primary structures.

Tin Wee Tan, Vladimir Brusic, Shoba Ranganathan, 2005, Journal of molecular graphics & modelling.

Large-Scale Analysis of B-Cell Epitopes on Influenza Virus Hemagglutinin – Implications for Cross-Reactivity of Neutralizing Antibodies

V. Brusic, E. Reinherz, Z. Cao, 2014, Front. Immunol..

SARS coronavirus nucleocapsid immunodominant T-cell epitope cluster is common to both exogenous recombinant and endogenous DNA-encoded immunogens

V. Brusic, J. Salmon, Vandana Gupta, 2006, Virology.

Deriving Matrix of Peptide-MHC Interactions in Diabetic Mouse by Genetic Algorithm

Lonce L. Wyse, Vladimir Brusic, Bertil Schmidt, 2005, IDEAL.

Big Data Analytics in Immunology: A Knowledge-Based Approach

Vladimir Brusic, Lou Chitkushev, Guang Lan Zhang, 2014, BioMed research international.

Combining cellular automata and Lattice Boltzmann method to model multiscale avascular tumor growth coupled with nutrient diffusion and immune competition.

Vladimir Brusic, Francesco Pappalardo, Marzio Pennisi, 2012, Journal of immunological methods.

ImmunoGrid, an integrative environment for large-scale simulation of the immune system for vaccine discovery, design and optimization

Massimo Bernaschi, Vladimir Brusic, Patrice Duroux, 2008, Briefings Bioinform..

Data Learning: Understanding Biological Data

Vladimir Brusic, John Zeleznikow, John S. Wilkins, 1998 .

Systematic analysis of snake neurotoxins' functional classification using a data warehousing approach

Vladimir Brusic, Judice L. Y. Koh, Asif M. Khan, 2004, Bioinform..

Food authentication: state of the art and prospects

Georgios P. Danezis, Aristidis S. Tsagkaris, Vladimir Brusic, 2016 .

A privacy preserving framework for federated learning in smart healthcare systems

V. Brusic, Jindong Zhao, Xiang Zhang, 2023, Inf. Process. Manag..

Social Impact of Smart Environments: Software Engineering Perspectives and Challenges

V. Brusic, D. Towey, S. McDonald, 2022, Annual International Computer Software and Applications Conference.

Multi-Step Optimization of Indoor Localization Accuracy Using Commodity WiFi

Vladimir Brusic, Sherif Welsen, Shuyu Li, 2021, 2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC).

Immune System Modeling and Related Pathologies

Holger Fröhlich, Vladimir Brusic, Francesco Pappalardo, 2012, Comput. Math. Methods Medicine.

Editorial Immune System Modeling and Related Pathologies

V. Brusic, F. Pappalardo, 2012 .

Information technologies for vaccine research

Vladimir Brusic, Nikolai Petrovsky, N. Petrovsky, 2005, Expert review of vaccines.

Mathematical Modelling of the Immune System

Vladimir Brusic, Santo Motta, V. Brusic, 2004 .

Allergen databases

V Brusic, N Petrovsky, S M Gendel, 2003, Allergy.

The future for computational modelling and prediction systems in clinical immunology.

Vladimir Brusic, Nikolai Petrovsky, Diego G. Silva, 2003, Novartis Foundation symposium.

Data Warehousing in Molecular Biology

Vladimir Brusic, Christian Schönbach, P. Kowalski-Saunders, 2000, Briefings Bioinform..

FIMM, a database of functional molecular immunology

Limsoon Wong, Vladimir Brusic, Judice L. Y. Koh, 2000, Nucleic Acids Res..

Computational binding assays of antigenic peptides

Vladimir Brusic, John Zeleznikow, V. Brusic, 2006, Letters in Peptide Science.

Predictive Vaccinology: Optimisation of Predictions Using Support Vector Machine Classifiers

Vladimir Brusic, Guanglan Zhang, Ivana Bozic, 2005, IDEAL.

Database Warehousing in Bioinformatics

Vladimir Brusic, Judice L. Y. Koh, J. Koh, 2005 .

Bioinformatics for Venom and Toxin Sciences

Vladimir Brusic, Asif M. Khan, Paul T. J. Tan, 2003, Briefings Bioinform..

Long‐term T cell memory to human leucocyte antigen‐A2 supertype epitopes in humans vaccinated against smallpox

V. Brusic, J. Kazura, A. Moormann, 2007, Clinical and experimental immunology.

Predicting peptides binding to MHC class II molecules using multi-objective evolutionary algorithms

Vladimir Brusic, Bertil Schmidt, Lin Feng, 2007, BMC Bioinformatics.

MHCPEP--a database of MHC-binding peptides: update 1995

Vladimir Brusic, George B. Rudy, Leonard C. Harrison, 1996, Nucleic Acids Res..

A systematic analysis of a broadly neutralizing antibody AR3C epitopes on Hepatitis C virus E2 envelope glycoprotein and their cross-reactivity

V. Brusic, Jing Sun, 2015, BMC Medical Genomics.

Landscape of neutralizing assessment of monoclonal antibodies against dengue virus

Vladimir Brusic, Jing Sun, Guanglan Zhang, 2013, BCB.

Literature classification for semi-automated updating of biological knowledgebases

Vladimir Brusic, Ole Winther, Lars Rønn Olsen, 2013, BMC Genomics.

Literature classification for semi-automated updating of biological knowledgebases

V. Brusic, L. Olsen, O. Winther, 2013, BMC Genomics.

Large‐scale computational identification of HIV T‐cell epitopes

Vladimir Brusic, Christian Schönbach, C. Schönbach, 2002, Immunology and cell biology.

PB1-F2 Finder: scanning influenza sequences for PB1-F2 encoding RNA segments

Vladimir Brusic, Guang Zhang, Ellis L. Reinherz, 2011, BMC Bioinformatics.

Visualization tools for presenting and analysis of global landscapes of vaccine targets

Vladimir Brusic, Lubomir T. Chitkushev, Guanglan Zhang, 2011, 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW).

Application of Genetic Search in Derivation of Matrix Models of Peptide Binding to MHC Molecules

Victor Ciesielski, Vladimir Brusic, Christian Schönbach, 1997, ISMB.

Understanding Prediction Systems for HLA-Binding Peptides and T-Cell Epitope Identification

Mikael Bodén, Vladimir Brusic, Ping Zhang, 2007, PRIB.

Computational Models for Identifying Promiscuous HLA-B7 Binders based on Information Theory and Support Vector Machine

Joo Chuan Tong, Chee Keong Kwoh, Yun Zheng, 2006, 2006 International Conference on Biomedical and Pharmaceutical Engineering.

HPVdb: a data mining system for knowledge discovery in human papillomavirus with applications in Tcell immunology and

D. Keskin, V. Brusic, E. Reinherz, 2014 .

PO and ID BCG vaccination in humans induce distinct mucosal and systemic immune responses and CD4+ T cell transcriptomal molecular signatures

V. Brusic, P. Andersen, G. Matuschak, 2017, Mucosal Immunology.

A Hybrid Model for Prediction of Peptide Binding to MHC Molecules

Vladimir Brusic, Kaye E. Basford, Ping Zhang, 2008, ICONIP.

TANTIGEN 2.0: a knowledge base of tumor T cell antigens and epitopes

Vladimir Brusic, Lubomir T. Chitkushev, Guanglan Zhang, 2021, BMC Bioinformatics.

TANTIGEN 2.0: an online database and analysis platform for tumor T cell antigens

Vladimir Brusic, Lubomir T. Chitkushev, Lou Chitkushev, 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

The ImmunoGrid Simulator: How to Use It

Vladimir Brusic, Ferdinando Chiacchio, Adrian J. Shepherd, 2009, CIBB.

Classification of Single Cell Types During Leukemia Therapy using Artificial Neural Networks

Derin B. KESKIN, Vladimir BRUSIC, Minjie LYU, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Database resources for proteomics-based analysis of cancer.

Vladimir Brusic, Guang Lan Zhang, David S DeLuca, 2011, Methods in molecular biology.

Knowledge discovery and data mining in biological databases

Vladimir Brusic, John Zeleznikow, V. Brusic, 1999, The Knowledge Engineering Review.

Disruption of helix-capping residues 671 and 674 reveals a role in HIV-1 entry for a specialized hinge segment of the membrane proximal external region of gp41.

V. Brusic, E. Reinherz, G. Wagner, 2014, Journal of molecular biology.

Elemental metabolomics

Vladimir Brusic, Ping Zhang, Constantinos A. Georgiou, 2018, Briefings Bioinform..

New approach to investigate Common Variable Immunodeficiency patients using spectrochemical analysis of blood

Camilo L. M. Morais, V. Brusic, F. Martin, 2019, Scientific Reports.

An adaptive genetic algorithm for selection of blood-based biomarkers for prediction of Alzheimer's disease progression

Vladimir Brusic, Ping Zhang, Luke Vandewater, 2015, BMC Bioinformatics.

InCoB2012 Conference: from biological data to knowledge to technological breakthroughs

Tin Wee Tan, Vladimir Brusic, Jonathan H. Chan, 2012, BMC Bioinformatics.

Analysis of viral diversity for vaccine target discovery

T. Tan, V. Brusic, Asif M. Khan, 2017, BMC Medical Genomics.

The growth of bioinformatics

Vladimir Brusic, V. Brusic, 2006, Briefings Bioinform..

ImmunoGrid: towards agent-based simulations of the human immune system at a natural scale†

Massimo Bernaschi, Marie-Paule Lefranc, Ole Lund, 2010, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

Fibre optic sensors for the monitoring of rotating electric machines: a review

Vladimir Brusic, Michael Galea, Serhiy Korposh, 2021, Optical and Quantum Electronics.

Computational vaccinology and the ICoVax 2012 workshop

Vladimir Brusic, Yongqun He, Nikolai Petrovsky, 2013, BMC Bioinformatics.

Extreme Learning Machine for Predicting HLA-Peptide Binding

Chee Keong Kwoh, Vladimir Brusic, Yew-Soon Ong, 2006, ISNN.

Antidote Application: An Educational System for Treatment of Common Toxin Overdose

Vladimir Brusic, Lubomir T. Chitkushev, Guanglan Zhang, 2017, BCB.

Antidote application: an educational system for treatment of common toxin overdose

Vladimir Brusic, Lubomir T. Chitkushev, Guanglan Zhang, 2014, BCB.

Classification of PBMC cell types using scRNAseq, ANN, and incremental learning

Jiahui ZHONG, Razin A. SHAIKH, Haoguo WU, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Sensor Networks and Personal Health Data Management: Software Engineering Challenges

Vladimir Brusic, Dave Towey, Matthew Pike, 2020, Advances in Intelligent Systems and Computing.

MCVdb: A database for knowledge discovery in Merkel cell polyomavirus with applications in T cell immunology and vaccinology

Vladimir Brusic, Lubomir T. Chitkushev, Guanglan Zhang, 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Incremental Maintenance of Biological Databases Using Association Rule Mining

Vladimir Brusic, Bharadwaj Veeravalli, Judice L. Y. Koh, 2006, PRIB.

Estimating the Effects of Public Health Measures by SEIR(MH) Model of COVID-19 Epidemic in Local Geographic Areas

V. Brusic, Tianyi Qiu, Han Xiao, 2022, Frontiers in Public Health.

DHT-Based Blockchain Dual-Sharding Storage Extension Mechanism

V. Brusic, Jindong Zhao, Xiuqin Qiu, 2022, Applied Sciences.

Hotspot Hunter: a computational system for large-scale screening and selection of candidate immunological hotspots in pathogen proteomes

V. Brusic, C. Kwoh, Asif M. Khan, 2008, BMC Bioinformatics.

MULTIPRED2: A computational system for large-scale identification of peptides predicted to bind to HLA supertypes and alleles

O. Lund, D. DeLuca, D. Keskin, 2010, Journal of Immunological Methods.

Machine Learning Competition in Immunology – Prediction of HLA class I molecules

Christos, M. Polycarpou, O. Lund, 2011 .

A Peptide-binding Motif for I-Ag7, the Class II Major Histocompatibility Complex (MHC) Molecule of NOD and Biozzi AB/H Mice

V. Brusic, P. Augstein, L. Adorini, 1997, Journal of Experimental Medicine.

Bioinformatic strategies for better understanding of immune function

N. Petrovsky, C. Schönbach, V. Brusic, 2003, Silico Biol..

Multi-Objective Evolutionary Algorithm for Discovering Peptide Binding Motifs

Vladimir Brusic, Bertil Schmidt, Menaka Rajapakse, 2006, EvoWorkshops.

Artificial Neural Network System for Cell Classification using Single Cell RNA Expression

Xin Lin, Lubomir T. Chitkushev, Sen Lin, 2020, 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Optimizing vaccine development

V. Brusic, D. Hoft, Isaac G. Sakala, 2011, Cellular Microbiology.

Systematic identification of personal tumor-specific neoantigens in chronic lymphocytic leukemia.

K. Cibulskis, S. Gabriel, N. Hacohen, 2014, Blood.

From Immunoinformatics to Immunomics

Vladimir Brusic, V. Brusic, 2003, J. Bioinform. Comput. Biol..

Hotspot Hunter: a computational system for large-scale screening and selection of candidate immunological hotspots in pathogen proteomes

V. Brusic, C. Kwoh, G. Zhang, 2008, BMC Bioinformatics.

MHCPEP, a database of MHC-binding peptides: update 1997

V. Brusic, L. Harrison, G. Rudy, 1998, Nucleic Acids Res..

Using Gaussian Process with Test Rejection to Detect T-Cell Epitopes in Pathogen Genomes

M. Bodén, M. Gallagher, V. Brusic, 2010, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Evaluation of MHC class I peptide binding prediction servers: Applications for vaccine research

V. Brusic, Honghuang Lin, Surajit Ray, 2008, BMC Immunology.

Ieee Transactions on Computational Biology and Bioinformatics 1 Using Gaussian Process with Test Rejection to Detect T-cell Epitopes in Pathogen Genomes

V. Brusic, Liwen You, Marcus Gallagher, 2022 .

Evaluation of Mhc Class I Peptide Binding Prediction Servers: Applications for Vaccine Research Evaluation of Mhc Class I Peptide Binding Prediction Servers: Applications for Vaccine Research

V. Brusic, Honghuang Lin, Songsak Tongchusak, 2022 .

HLA-Binding Properties of Tumor Neoepitopes in Humans

N. Hacohen, Catherine J. Wu, V. Brusic, 2014, Cancer Immunology Research.

Mutated BCR-ABL Generates Immunogenic T-cell Epitopes in CML Patients

D. DeLuca, D. Neuberg, D. Keskin, 2012, Clinical Cancer Research.

OTG-snpcaller: An Optimized Pipeline Based on TMAP and GATK for SNP Calling from Ion Torrent Data

Wenwei Zhang, Chunyu Geng, Pengyuan Zhu, 2014, PloS one.

FLAVIdB: A data mining system for knowledge discovery in flaviviruses with direct applications in immunology and vaccinology

V. Brusic, E. Reinherz, L. Olsen, 2013, Immunome research.

Literature classification for semi-automated updating of biological knowledgebases

V. Brusic, L. Olsen, O. Winther, 2013, BMC Genomics.

Fibre Bragg grating (FBG) thermal monitoring system for copper windings of electric machines under different duty modes

Vladimir Brusic, Michael Galea, Weiduo Zhao, 2021, Other Conferences.

Polyimide-Coated Fibre Bragg Grating (FBG) Sensors for Thermal Mapping of Electric Machine Windings

Michael Galea, Serhiy Korposh, Kun Shang, 2020, 2020 22nd International Conference on Transparent Optical Networks (ICTON).

Knowledge discovery and data mining in biological databases

V. Brusic, John Zeleznikow, OHN ZEL, 1999, The Knowledge Engineering Review.

Supporting the Curation of Biological Databases with Reusable Text Mining

Tin Wee Tan, Vladimir Brusic, Olivo Miotto, 2005 .

Functional Prediction of Snake Neurotoxins

Chee Keong Kwoh, Vladimir Brusic, Geok See Ng, 2006, 2006 9th International Conference on Control, Automation, Robotics and Vision.