About Us
We Make Science Alive
Who are we?
Our team is made of experienced researchers as well as of researchers at the beginning of their careers.
Our main goal is to understand biological structures and apply that knowledge in making the World a better place.
Vladimir Vukic, PhD
Senior research associate
Vladimir Vukic works as a senior research associate at University of Novi Sad, Faculty of Technology Novi Sad, Serbia. Also, he is external collaborator at Structural Bioinformatics Laboratory, Åbo Akademi University (Turku, Finland). His expertise is in the fields of molecular modelling and structural bioinformatics. He obtained his PhD in biology, in the fields of structural bioinformatics, molecular modelling and protein ligand interactions. During his career he was involved in numerous drug discovery and design research projects. He has spent numerous postdoctoral researches at Structural Bioinformatics Laboratory, Åbo Akademi University (Turku, Finland) where he obtained additional expertise in Computer Aided Drug Design and Discovery.
Skils
Molecular modelling, computer aided drug discovery and design, ligand docking (covalent and non-covalent), docking based virtual screening, molecular dynamics, energy minimization, sequence alignment, clustering and annotation, machine learning, ADME-Tox, 3D-QSAR, PCA analysis, PLS, ANOVA, primer design, blast, Python, etc.
Experience
Vladimir has participated in numerous research projects in the fields of biomolecular modeling, drug discovery and design, food derived bioactive compounds including investigation of Lactose degradation, search for inhibitors of human VAP, DAO, HSP90, engineering of SnoK and SnoN proteins, design of aptamers, etc.
Expertise
Protein engineering, drug discovery, rational drug design, structure based drug design, ligand based drug design, biactive compounds, protein structure, bioactive peptides, DNA/RNA structure and interactions, etc.
Dajana Vukic, PhD
Senior research associate
Dajana Vukic is a senior research associate and teaching assistant at the University of Novi Sad, Faculty of Technology Novi Sad, Serbia. Her expertise is in the field of statistical analysis and correlations in molecular modelling. She was involved in numerous research projects dealing with biomolecular modelling. She obtained PhD at the Faculty of Technology Novi Sad and spent numerous PhD and postdoctoral researches at Faculty of Medicine, University of Turku, Turku, Finland and Mosaiques diagnostics, GmbH, Hannover, Germany.
Skils
Molecular modelling, computer aided drug discovery and design, ligand docking (non-covalent), pharmacophore based virtual screening, molecular dynamics, energy minimization, machine learning, QSAR, 3D-QSAR, pharmacophore modelling and analysis, ADME-Tox, PCA analysis, PLS, ANOVA, etc.
Experience
Dajana has participated in numerous research projects in the fields of biomolecular modeling, drug discovery and design, food derived bioactive compounds including investigation of lactose degradation, ACE inhibitory activity, antiproliferative activity, structure-activity relationship, etc.
Expertise
Ligand based drug discovery, structure-activity relationship, protein structure, small molecules, bioactive compounds, bioactive peptides, etc.
Biljana Loncar, PhD
Senior research associate
Biljana Loncar is a senior research associate at the Faculty of Technology Novi Sad, University of Novi Sad. Her current research interests include mathematical modeling, chemometrics, machine learning, and artificial neural networks. She obtained her PhD in biotechnology in the field of chemometrics application. During her career she was involved in numerous research projects during which she gained experience in mathematical modeling and optimization of bioactive compounds and processes involved in their bioactivity.
Skils
Mathematical modeling and optimization, non-linear kinetics modeling, machine learning, quality prediction using mathematical models including polynomial models, ANN, SVM, RFR, statistics, chemometrics, ANOVA, SEM, PCA analysis, Cluster analysis, Color correlation analysis, and QSRR.
Experience
Biljana has participated in numerous research projects in biotechnology, including the utilization of ANN for optimizing novel bio-functionalized magnetite-geopolymer composites for the removal of phenolic compounds, the application of mathematical models for the production and implementation of an innovative products with improved bioactivity and the Open Network on DEM Simulations.
Expertise
Expertise in the field mathematical modeling and optimization of the physicochemical properties of compounds and mixtures, and analysis of bioactive compounds.
Lato Pezo, PhD
Full research Professor
Lato Pezo is working at the Institute of General and Physical Chemistry, Belgrade, Serbia. His expertise is in mathematical modelling and data analysis has been used in the field of development of new technological process (including mathematical modeling, optimization and numerical simulation of chemical processes) in the process for obtaining biologically valuable components.
Skils
Mathematical modeling and optimization, non-linear kinetics modeling, machine learning, quality prediction using mathematical models including polynomial models, ANN, SVM, RFR, statistics, chemometrics, ANOVA, SEM, PCA analysis, Cluster analysis, Color correlation analysis, statistics, chemometrics, quantitative structure retention relationship, structural equation modeling.
Experience
During his career Lato has applied numerous statistical methods in optimization of biological processes and final products. His expertise includes optimization of compounds for their optimal properties. He was leading and participating in numerous research projects in the field of mathematical modelling and application.
Expertise
Expertise in the field of statistics, in terms of numerical simulations and mathematical modeling of the physico-chemical properties compounds and mixtures, optimization of raw material composition and technological parameters of production, transport phenomena of granular material mixing, monitoring of toxic elements, as well as optimizing the process in the chemical industry.
Jovana Degenek, MSc
Research assistant
Jovana Degenek is a junior researcher and she works at University of Novi Sad, Faculty of Technology Novi Sad, Serbia. Her research field is bioactive components with the focus on peptides and their antimicrobial potential.
Skils
Molecular modelling, computer aided drug discovery and design, ligand docking (non-covalent), molecular dynamics.
Experience
Jovana in involved in two projects regarding antimicrobial potential ob food derived bioactive peptides.
Expertise
Structure based drug design, biactive compounds, protein structure, bioactive peptides.