Conference program

Abstract: Natural products remain a privileged source of new therapeutics, yet their clinical translation hinges on precise structural and stereochemical assignment. Here, we describe our ongoing investigation of Artemisia hedinii, an annual herb long used in Chinese folk medicine for detoxification and inflammation relief. Phytochemical re-investigation of A. hedinii has now delivered a total of 107 sesquiterpenoids, comprising 81 previously undescribed metabolites. Among these, six unprecedented carbon skeletons were identified. Unambiguous determination of absolute configuration was achieved by an integrated strategy: high-resolution MS, 1D and 2D-NMR spectra, single-crystal X-ray diffraction, TDDFT ECD calculations, DFT NMR chemical-shift fitting, and biomimetic total syntheses that delivered all new-skeleton prototypes as single enantiomers. Biological evaluation revealed potent anti-hepatic-fibrosis activity in human LX-2 hepatic stellate cells, with some compounds significantly suppressing α-SMA expression. Concurrent assays in LPS-stimulated RAW264.7 macrophages and bone-marrow-derived macrophages (BMDM) demonstrated dose-dependent inhibition of NO, IL-6 and TNF-α release, underscoring broad anti-inflammatory potential. Collectively, these findings expand the chemical space of the Artemisia chemodiversity atlas and establish A. hedinii as a prolific reservoir of architecturally novel, bioactive sesquiterpenoids for drug discovery against inflammation and fibrosis.

Abstract: This work presents experimental findings from a comprehensive study on protic ionic liquid (PIL)–water mixtures, focusing on 2-hydroxypropylammonium formate (HPF). These systems were explored as next-generation, environmentally friendly hydraulic fluids. The study involved extensive physical and chemical characterization, including density, viscosity, thermal conductivity, electrical conductivity, and specific heat capacity. In addition, the fluids were tested under standard conditions for compatibility with filter materials, foaming behavior, and copper corrosion resistance. Rheological measurements and flow curve modeling were used to evaluate shear behavior. The findings confirm that HPF–water mixtures can meet ISO VG viscosity standards and offer high thermal efficiency, stability, and safety, making them strong candidates for sustainable hydraulic applications.

Abstract: Electronic health records (EHRs) contain rich relational data such as individual patient data, encounters, diagnoses, medications, etc. Healthcare systems often store EHR data in tabular form. However, traditional flat representations (“bag of features”) can lose critical context. For example, treating a patient encounter as an unordered set of codes obscures the fact that a specific combination of drugs might have caused an adverse outcome. Knowledge graphs offer a robust alternative by organizing medical data into interconnected entities and relationships, capturing complex associations (e.g. between symptoms, treatments, diagnoses) for a more holistic understanding of patient history. In this work, we transform the Diabetes 130-US Hospitals dataset (a collection of ~100,000 inpatient encounters from 130 hospitals over 10 years) into a labeled property graph (LPG), and demonstrate the advantages both conceptual and quantitative of graph-based analysis, in a medical informatics context. Each encounter in this dataset includes patient demographics, diagnoses (ICD-9 codes), lab results (e.g. HbA1c), and 24 diabetes-related medications with change indicators (“up”, “down”, “steady” or “no change”) among other features. Notably, the original study focused on 30-day readmissions, highlighting that poor glycemic control and suboptimal inpatient diabetes management lead to higher readmission rates and complications. Our graph model makes these clinical relationships explicit, enabling multi-hop reasoning (e.g. linking a patient’s lab result to medication changes and subsequent readmission outcome) that is cumbersome with relational tables. We show that converting such EHR data into a graph can improve predictive modeling of readmissions and uncover insightful patterns of comorbidities and care processes that would be difficult to extract using SQL alone, aligning with recent trends in biomedical informatics to leverage networks for clinical data analysis.

Abstract: This study explored the chemopreventive potential of (+)-catechin, rosmarinic acid, and gnaphaliin, prominent phenolic compounds found in Rosmarinus officinalis L., cocoa, and Helichrysum italicum, respectively, against the carcinogenic effects of aflatoxin B1 exo-8,9-epoxide (AFBO), a genotoxic metabolite of naturally occurring mycotoxin aflatoxin B1 (AFB1). Activation free energy (∆G⧧) values for the studied reactions were determined using density functional theory (DFT) with the M11-L and MN12-L functionals, the 6-311++G(d,p) flexible basis set, and the implicit Solvation Model Density (SMD). These calculations followed our recently established quantum mechanics-based protocol for carcinogen scavenging activity (QM-CSA). The computational findings indicated that the activation free energy for the reaction of (+)-catechin, rosmarinic acid, and gnaphaliin with AFBO is notably lower than that of the reaction between AFBO and guanine (by 1.86 kcal/mol - 11.54 kcal/mol). The carcinogen scavenging activity (CSA) among the studied polyphenols, relative to guanine and glutathione, was found to follow the order: gnaphaliin > (+)-catechin > rosmarinic acid. This suggests that studied polyphenols serve as effective natural scavengers of AFBO, potentially inhibiting the formation of DNA adducts associated with AFB1.

BE.T1.1 – Effect of Gradient Magnetic Fields on Molecular Diffusion Through Cell Membranes: A Theoretical and Numerical Study
M. Kovačević, D. Tosi, M. Ivanović, V. Marković, R. Dragnić, Lj. Kuzmanović, M. Milojković

BE.T1.2 – Simulating the behaviour of cancer cells in the microfluidic chip
Tijana Djukic, Nevena Milivojevic Dimitrijevic, Marko Zivanovic, Nenad Filipovic

BE.T1.3 – Harnessing Hydrolized Silk Fibroin in Electrospun Nanofibers for Biomedical Applications
Marija B. Branković, Jana D. Baščarević, Marko N. Živanović, Nenad D. Filipović

BE.T1.4 – Integration of 3D Printing Technologies with Deuterated Polyunsaturated Fatty Acids (D-PUFAs)
Djordje Milosevic, Marija Brankovic, Nevena Mihailovic, Fatima Zivic

BE.T1.5 – AI based Prediction Model and Influential Factors for Hypersensitivity in Dental Implants made of Ti alloys
Marija Grujovic, Aleksandar Djordjevic, Nebojsa Abadic, Gordana Jovicic, Fatima Zivic

BE.T1.6 – In Vivo Models for Spinal Disc Regeneration
Mihailo Jovanovic, Marija Brankovic, Nenad Grujovic, Fatima Zivic

BE.T1.7 – Time-dependent apoptotic responses to vitamin E in precancerous lesions-on-chip models
Ana Mirić, Anđela Perić, Jelena Košarić, Nevena Milivojević Dimitrijević, Petar Arsenijević, Marko Živanović, Nenad Filipović

BE.T1.8 – The Effect of Dulbecco’s ‘Eagle’ Medium on the Mass and Tribological Characteristics of PLA Samples: A Preliminary Study
Dalibor D. Nikolić, Živana M. Jovanović Pešić, Milena M. Jovanović, Dragana S. Šeklić, Miloš S. Pešić, Dragan S. Džunić

AST.T1.1 – Algal-derived chromopeptides: Alternatives to fetal bovine serum in cellular agriculture
Nađa Grozdanić, Nikolina Sibinčić, Ljubodrag Aleksić, Aleksandar Ivanov, Lora Tubić, Nikola Gligorijević, Marija Stojadinović, Simeon Minić

AST.T1.2 – A Survey of Reinforcement Learning Approaches for Tuning Particle Swarm Optimization
Bogdan Milićević, Vladimir Milovanović

AST.T1.3 – Experimental study on a phase-change-material-based thermal management scheme coupled with external fins for lithium-ion battery
Guanyi Chen, Xiaoping Chen, Shuanyang Zhang, Daidai Chen, Heyuan Wang

AST.T1.4 – Mercury removal from acid mine drainage by natural pyrophyllite schist material
Vladimir Šaraba, Tatjana Trtić-Petrović, Dajana Lazarević, Jelena Jovanović, Milica Ciric, Ivana Jovanić

AST.T1.5 – Comprehensive Study on the Impact of Low-Temperature Environments on the Performance and Safety of Lithium-Ion Batteries
Yang Dong, Haoran Kong, Ma Ruibo, Quan Yuan

AST.T1.6 – Protic Ionic Liquid–Water Interactions: A Combined Experimental and Simulation Study on 2-Hydroxypropylammonium Formate
Saša Laloš, Snežana Papović, Siniša Bikić, Andrija Vukov, Teona Teodora Borović, Sanja Belić, Jovana Selak, Nikolett Cáko Bagány, Slobodan Gadžurić, Milan Vraneš

AST.T1.7 – Research on the Performance of Power Batteries in High-Temperature and High-Humidity Environments
Qiying Wang, Ji Qing, Xinyue Zheng, Dongxu Li

AST.T1.8 – Petrography of high-pH fluids sedimentary assemblages and biotechnological potential of sediment Bacillus
Vladimir Šaraba, Milica Ciric, Tatjana Trtić-Petrović, Violeta Gajić

AST.T1.9 – Characterization of copper electrodeposited onto palladium from ethaline
Vesna S. Cvetković, Nataša M. Petrović, Nebojša D. Nikolić, Tanja S. Barudžija, Silvana B. Dimitrijević, Jovan N. Jovićević

AST.T1.10 – Influence of Methyl Salicylate on the Solubility and Self-Association of Caffeine: A Thermodynamic and Simulation Study
Teona Teodora Borović, Andrija Vukov, Jovana Selak, Snežana Papović, Sanja Belić, Nikolett Cáko Bagány, Slobodan Gadžurić, Milan Vraneš

AST.T1.11 – Preliminary investigation of natural radioactivity (Gross Alpha/Beta) in rural water supplies of Bagerhat district, Bangladesh
Milena P. Živković, Md F. Kabir, Taha Y. Wais, Berivan F. Namq, Dragana Ž. Krstić

AST.T1.12 – Bending Analysis of FGM Plates on a Kerr Foundation Using an HSDT Shape Function
Aleksandar B. Radaković, Dragan V. Čukanović, Gordana Bogdanović, Aleksandar M. Nešović, Petar M. Knežević

AST.T1.13 – Economic Growth, Renewable Energy, Trade Openness and CO2 Emissions: A Causality Analysis
Jelena Živković, Nevena Veselinović, Stefan Zdravković

AST.T1.14 – Sustainable Activated Carbon: Transforming Sawdust with Zinc Chloride Activation Treatment
Milica Kosović Perutović, Jana Mišurović, Aldina Jukić, Veselinka Grudić

AST.T1.15 – Effects of the Sustainable Tourism Concept, Environmental Beliefs, and Social Media Influencers on the Choice of Green Hotels When Traveling
Stefan Zdravković, Jelena Živković

AST.T1.16 – Chemical analysis of soil and determination of its fertility
Svetlana K. Belošević, Miloš Jelić, Emin Memović, Maja B. Đukić, Jovana S. Belošević

AST.T1.17 – Content of air pollutants in Kraljevo
Svetlana K. Belošević, Maja B. Đukić, Danijela Lj. Stojković, Jovana S. Belošević

AST.T1.18 – Synthesis and characterization of cerium salt of 12-tungstophosphoric heteropoly acid – Ce-PWA
Tijana V. Maksimović, Dimitrije Mara, Pavle I. Tančić, Jelena P. Maksimović, Marina Simović-Pavlović, Zoran P. Nedić, Ljubinka G. Joksović, Maja C. Pagnacco

AST.T1.19 – Correlation analysis of heavy metals, radionuclides, and physicochemical properties in soil from Serbia
Emina Mrkalić, Biljana Nikić, Jelena M. Stajić

AST.T1.20 – From Waste to Resource: Sawdust-Based Activated Carbons for Cadmium-ion Adsorption
Jana Mišurović, Milica Kosović Perutović, Bojana Knežević, Aldina Jukić, Veselinka Grudić

AST.T1.21 – Reusability potential of Ambrosia-based biosorbents for Crystal Violet dye removal
Natalija Ž. Nedić, Sandra S. Bulatović, Tamara T. Tadić, Bojana M. Marković, Aleksandra B. Nastasović

AST.T1.22 – Niobium electrodeposition from chloroaluminate based molten salts containing niobium ions
Nataša M. Petrović, Vesna S. Cvetković, Jovan N. Jovićević

AST.T1.23 – When Does Trade Become Green?
Nevena Veselinović, Jelena Živković

AST.T1.24 – Kinetic study of Re(VII) removal from aqueous solutions by macroporous magnetic nanocomposite
Sandra S. Bulatović, Bojana M. Marković, Tamara T. Tadić, Natalija Ž. Nedić, Antonije E. Onjia, Aleksandra B. Nastasović

AST.T1.25 – The new ionic additives for safer and durable electrolytes in lithium-ion batteries
Snežana M. Papović, Teona Teodora V. Borović, Gorana Mrđan, Maria Enrica di Pietro

AST.T1.26 – Investigation of Briggs-Rauscher Oscillograms via Peak Area Integration
Jelena P. Maksimović, Tijana Maksimović, Jelena Senćanski, Jelena Živković, Maja C. Pagnacco

AST.T1.27 – Intracellular effect of synergistic action of N-TiO2 nanoparticles and blue light on HeLa cervical cancer cells: Raman spectroscopic study
Iva Popović, Maja D. Nešić, Irina Estrela-Lopis, Tom Venus, Lela Korićanac, Djordje Kapuran, Milutin Stepić, Mioljub Nešić, Marijana Petković

AST.T1.28 – Electrospun Polysaccharide Fiber Stabilization: An In-Situ Green Crosslinking Approach
Sanja Rackov, Branka Pilić

AST.T1.29 – MRI-only Radiotherapy Dose Planning via CycleGAN-Generated Synthetic CT
Milena P. Živković, Abdulhady Abas Abdulla, Tarik A. Rashid, Dragana Ž. Krstić

AST.T1.30 – The potential of tartarates as compatibilizers and plasticizers in biodegradable films
Tamara Erceg

Abstract: Hydrogels are widely used for controlled drug release due to their biocompatibility, hydrophilicity, and drug-loading capacity. However, conventional hydrogels often show initial burst release followed by a decline, caused by high drug concentration gradients and uneven drug distribution. Here, we propose a multilayer sodium alginate hydrogel to improve drug release fluctuation. The drug is loaded into the inner hydrogel layers to optimize distribution, while the drug-free outer layer minimizes rapid surface desorption and reduces the concentration gradient. The system demonstrates excellent biocompatibility (>95% cell viability) and reduces the initial 2 h drug release rate by 67.4% compared to monolayer hydrogels, effectively stabilizing release fluctuations.

Abstract: Results of this work confirmed the successful adaptation of a cost-effective laser engraving system and a photoacoustic cell from an earlier generation spectroscopy unit into a frequency photoacoustic excitation and detection system. In parallel, sample systems were developed with thin layers of polymer-based protoporphyrin IX applied on thin films of Tungsten sputtered on a glass substrate. The described sample systems were recorded by the reflection-mode frequency photoacoustics. Tendencies in the formation of amplitude response have been successfully recorded, which are attributed to differences in thermo-optical properties and chemical composition of the observed samples. The results are interpreted in terms of the newly developed theoretical model of photoacoustic response of two-layered samples and have been proven to be in accordance with it. The results have been effectively correlated with the established theoretical model from the literature, which has not been used before in biomedical applications, thus laying the groundwork for applying the method to characterize diverse solid materials at different levels of transparency. This result has demonstrated the potential of the system to successfully record manifestations of various thermodynamic properties of the observed materials, allowing for ther functional characterization and potential application in biomedicine, i.e. the diagnostics and therapy of cancer.

Abstract: Tannins are a wide group of natural polyphenols that are traditionally used for leather tanning. Nowadays, these compounds are also being researched for their antioxidative, anticarcinogenic and other health-beneficial properties. Among them is also their antibacterial activity. This is to a large extent ascribed to their ability to chelate metal ions and therefore deplete growth media of metal ions. However, studies that would enable a better understanding of these interactions are still relatively rare, mostly due to the difficulty of obtaining the pure compounds. Initially, the four compounds, namely vescalin, castalin, vescalagin and castalagin, were isolated using preparative reverse-phase C18 HPLC. Finally, the metal chelating ability of isolated compounds was examined using UV/Vis spectroscopy in conjunction with a Job plot. Because the interactions of tannins with metal ions are closely connected to the deprotonation of ellagitannins, the microscopic protolytic equilibrium of ellagitannins was examined. During the work, the DFT computations were used to get better elucidation of the obtained results on the molecular level, either for the explanation of the obtained chemical shifts or to search for the most probable binding positions of metal ions.

Abstract: In this work, we have investigated the changes in protein expression in HeLa cervical cancer cells treated with [Pd(dach)Cl2]. This Pd(II) complex showed a mild cytotoxic effect on HeLa cells, enabling us to study quantitatively changes in the protein expression between control and treated cells. The comparative proteomics analysis is performed using label-free data-independent liquid chromatography-tandem mass spectrometry (LC-MS/MS). In addition to this, we employed a computational biology approach and the informational spectrum method (ISM) to predict potential protein interactors of the [Pd(dach)Cl2] complex in HeLa cells. Our results show 121 differentially abundant proteins between control and [Pd(dach)Cl2]-treated cells, and we showed that [Pd(dach)Cl2] targets proteins involved in ribosomal biogenesis and RNA splicing. On the other hand, theoretical prediction implies the potential effect of [Pd(dach)Cl2] on p53 (oncogenic protein) signalling pathway, and thus, alterations of the expression of regulatory proteins involved in cell survival and proliferation. Since this is a proof-of-concept study, the sample size was not adequate to perform multiple testing correction. However, the findings are in line with the existing literature on HeLa cells' protein and mRNA expression. Moreover, the observed down-regulation of several proteins highly correlated with tumour development and progression was consistent with the observed cytotoxic effect of [Pd(dach)Cl2] treatment. Although this confirms the validity of the reported results, further validation in the context of a statistically well-powered study is required.

CCMD.T1.1 – Computer-Aided Drug Design of novel dual histone deacetylase inhibitors
Aleksandra Ilić, Milan Beljkaš, Alen Čebzan, Branko Radović, Nemanja Djoković, Katarina Nikolić, Slavica Oljačić

CCMD.T1.2 – Theoretical insight into redox properties of 9-Acridinyl amino acid derivatives
Aleksandra Ilić, Marija Popović-Nikolić, Mara Aleksić, Katarina Nikolić

CCMD.T1.3 – Physicochemical and pharmacological properties of fused bicyclic hydantoins
Petar B. Stanić, Biljana M. Šmit

CCMD.T1.4 – Computer-Aided Design and Analysis of Multifunctional Tetrahydrocannabinol Derivatives Targeting Acetylcholinesterase as Potential Antioxidant Neuroprotectors for Alzheimer’s Disease
Kristina D. Milisavljević, Jelena R. Đorović Jovanović, Marko R. Antonijević, Žiko B. Milanović

CCMD.T1.5 – Multifunctional Tetrahydrocannabinol Derivatives as Potential Antioxidant Neuroprotectors: In Silico Targeting of Monoamine Oxidase B and Catechol-O-Methyltransferase in Parkinson’s Disease Therapy
Kristina D. Milisavljević, Svetlana R. Jeremić, Jovana D. Matić, Žiko B. Milanović

CCMD.T1.6 – Stacking interactions between two hydroquinone molecules in crystal structures
Mila M. Stojanović, Milan R. Milovanović, Jelena P. Blagojević Filipović, Snežana D. Zarić

CCMD.T1.7 – Consideration of electrophoretic behavior of some imidazoline and α-adrenergic receptors ligands using DFT approach
Alen Čebzan, Marija Popović-Nikolić, Slavica Oljačić, Katarina Nikolić

CCMD.T1.8 – A New 2-Benzofuran-Linked Chalcone–Tamoxifen Combination for Targeting ER+ Breast Cancer
İpek Aydın, Sibel Cinar-Asa, Aysen Sagnak, Demet Coskun, Ferda Ari

CCMD.T1.9 – Contribution to Elucidating the Mechanism of Antimicrobial Action of a Dinuclear Pt/Cu Complex Against Enterococcus faecalis – In Silico Approach
Jelena R. Đorović Jovanović, Enisa S. Selimović, Violeta D. Jakovljević, Kristina D. Milisavljević, Stevan V. Sofronijević, Svetlana R. Jeremić

CCMD.T1.10 – Virtual Screening of Polyphenolic Compounds from Edible Plants for Potential Application in Alzheimer’s Therapy
Jelena R. Đorović Jovanović, Svetlana R. Jeremić, Žiko B. Milanović, Stevan V. Sofronijević, Jelena S. Katanić Stanković

CCMD.T1.11 – Data mining from oscillatory reactions perturbed by Usnic acid
Jelena Maksimović, Nedeljko Manojlović, Ana Ivanović-Šašić, Stevan Maćešić, Željko Čupić

CCMD.T1.12 – Evaluating the pharmacological profile of angular triquinane type hydantoins
Petar B. Stanić, Biljana M. Šmit

CCMD.T1.13 – Exploring beta blocking as a possible mechanism of anticancer action of 2-thiohydantoins
Petar B. Stanić, Biljana M. Šmit

CCMD.T1.14 – Structural and Electronic Response of New Nitroaromatic Compounds to Solvent Polarity: A DFT Study
Jelena Radovanović, Dušan Veljković, Gvozden Tasić, Marija Ječmenica Dučić, Ivan Lazović, Ana Cumbo

CCMD.T1.15 – Application of molecular modeling in predicting palliative features of HDAC4 PROTACs against Spinal Muscular Atrophy
Milan Mladenović, Nevena Tomašević, Gordana Tasić, Predrag Jovanović, Milena Simić, Vladimir Savić, Sanja Lj. Matić

CCMD.T1.16 – Quantum Theory of Atoms In Molecules Analysis of NH/O Hydrogen Bonds of Glycine Complexes with a Water Molecule
Sonja S. Zrilić, Jelena M. Živković, Dragan B. Ninković, Snežana D. Zarić

CCMD.T1.17 – Anti-Metastatic Effects of Chalcone Complex on Prostate Cancer and Prostate Cancer Stem Cell-Like Cells
Yaren Yildiz, Melih Oztepe, Oguzhan Akgun, Elif Erturk, Digdem Yöyen Ermis, Burhan Coskun, Demet Coskun, Ferda Ari

CCMD.T1.18 – In Silico investigation of substitution mechanism at the Nickel carbonyl complex
Dušan S. Ćoćić, Biljana V. Petrović, Ana S. Kesić

CCMD.T1.19 – Chemometric modeling for blood–brain-barrier permeability prediction of protein kinase inhibitors
Alen Čebzan, Milan Jovanović, Milica Radan, Marija Čarapić, Nenad Filipović, Katarina Nikolić, Milkica Crevar

BBMC.T1.1 – A systematic analysis of intermolecular interactions of cytochrome P450s with their ligands
Yaraslau U. Dzichenka, Natalia E. Boboriko, Sergey A. Usanov, Suzana Jovanović-Šanta, Biljana Šmit

BBMC.T1.2 – Investigation of the cytotoxic and apoptotic effects of the newly synthesized benzofuran-linked chalcone compounds in breast cancer
Yasin Polat, Aysen Sagnak, Demet Coskun, Oguzhan Akgun, Ferda Ari

BBMC.T1.3 – Synthesis, Characterization and Anticancer Potential of the Selected Biginelli Hybrids and Their Nanocomposites
Fatma Sağdıç, Nenad Janković, Oğuzhan Akgün, Emilija N. Milović, Ferda Ari

BBMC.T1.4 – Heterocyclic derivatives of steroidal thiosemicarbazones and their in silico drug-likeness prediction as potential anticancer agents
Marijana B. Živković, Srđan J. Tufegdžić, Dušan M. Sladić

BBMC.T1.5 – A Reproducible Pipeline for Preprocessing and Annotation of scRNA-seq Data Using Seurat and Scanpy
Vladimir Kovačević, Andreja Živić, Miloš Ivanović, Nevena Milivojević Dimitrijević, Marko Živanović

BBMC.T1.6 – Limitations of coarse grain models of actin filament on prediction of X-ray diffraction patterns in contracting skeletal muscle
Momcilo Prodanovic, Andjela Kafedziski, Srboljub M. Mijailovich

BBMC.T1.7 – Is the key to the disease in antioxidants, immunity or something else?
Tamara Boskovic, Nenad Filipovic

BAB.F1.1 – Chromosomal instability in peripheral blood lymphocytes of endometrial cancer patients: impact of clinical and reproductive factors
Aleksandra Marković, Marija Živković Radojević, Neda Milosavljević, Miloš Grujić, Olivera Milošević-Đorđević

BAB.F1.2 – Potpeć Reservoir ecosystem health: An analysis based on the Index of Biotic Integrity (IBI)
Aleksandra M. Milošković, Milena D. Radenković, Nataša M. Kojadinović, Tijana Z. Veličković, Simona R. Đuretanović, Marijana D. Nikolić, Vladica M. Simić

BAB.F1.3 – Chemoinformatics analysis of protein surface amino acid composition
Andrej Milisavljević, Urban Bren, Marko Jukič

BAB.F1.4 – Computational examination of the phenolic compounds binding to the Carbon Quantum Dots model
Đorđe Kapuran, Dušan Dimić, Iva Popović, Marijana Petković

BAB.F1.5 – Reversing Death in Lung Cancer: Epigenetic Control Mechanisms Underlying Anastasis
Enes Mehmet Serbetci, Halime Akgun, Oguzhan Akgun, Huseyin Emirhan Onur, Didem Akyoney, Elif Erturk, Digdem Yoyen Ermis, Haluk Barbaros Oral, Ferda Ari

BAB.F1.6 – Transcriptomic Insights into Gene and miRNA Dynamics Shaping EMT in Multiple Myeloma
Halime Sena Ekmekci, Oguzhan Akgun, Aysen Sagnak, Elif Erturk, Fazıl Cagri Hunutlu, Tuba Ersal, Fahir Ozkalemkas, Vildan Ozkocaman, Hulya Ozturk Nazlioglu, Ferda Arı

BAB.F1.7 – An Enhanced Method for Quantifying Energy Loss due to Diffusion in Coronary Arteries with Stenosis
Aleksandar Milovanović, Velibor Isailović, Igor Saveljić, Nenad Filipović

BAB.F1.8 – The Impact of Age on Non-Small Cell Lung Cancer: A Comprehensive Overview
Jasmina M. Obradovic, Olgica Mihaljević

BAB.F1.9 – Bioinformatics tools in molecular oncology
Jasmina M. Obradovic, Branko J. Arsic

BAB.F1.10 – Identification of ADARB1 non-coding transcripts as potential diagnostic biomarkers for colon adenocarcinoma
Aleksandra Nikolić, Jelena Karanović

BAB.F1.11 – Evaluation of the anticancer and antibiofilm properties of Agrimonia eupatoria L. silver nanoparticles
Katarina G. Marković, Mirjana Ž. Grujović, Ana Kesić, Milica Paunović, Katarina Ćirković, Ivana Radojević, Nevena H. Djukić

BAB.F1.12 – Assessment of Antibiotic Resistance in Waterborne Pathogens
Mirjana Ž. Grujović, Katarina G. Marković, Katarina Ćirković, Ivana D. Radojević, Olgica D. Stefanović

BAB.F1.13 – Unveiling the Multi-Target Therapeutic Potential of Resveratrol Against Alzheimer’s Disease: An Integrative Network Pharmacology and Molecular Simulation Approach
Mohamed Mohany, Marija Milošević

BAB.F1.14 – A Multi-Omics Bioinformatic Profiling of Epithelial-to-Mesenchymal Transition Following Anastasis in Lung Adenocarcinoma Cells
Halime Akgun, Oguzhan Akgun, Enes Mehmet Serbetci, Didem Akyoney, Elif Erturk, Digdem Yoyen-Ermis, Haluk Barbaros Oral, Ferda Ari

BAB.F1.15 – Transcriptomic and Network-Based Analysis of Autophagy Signaling Pathways in Bortezomib Resistance in Multiple Myeloma
Aysen Sagnak, Oguzhan Akgun, Halime Sena Ekmekci, Elif Erturk, Fazil Cagri Hunutlu, Tuba Ersal, Vildan Ozkocaman, Fahir Ozkalemkas, Hulya Ozturk Nazlioglu, Ferda Ari

BAB.F1.16 – Identification of potential microRNA biomarkers for early diagnosis of hepatocellular carcinoma applying bioinformatics approaches
Sanja Goč, Zorana Dobrijević, Tamara Janković, Filip Janjić, Ninoslav Mitić, Miroslava Janković

BAB.F1.17 – Prediction of the Biological Activity of Compounds on the 11β-HSD2 Enzyme Using Different Machine Learning Approaches
Sofija Stanojlović

BAB.F1.18 – Inspection of meat for trichinellosis. Classification of Trichinella spiralis using a convolutional neural network
Sofija Stanojlović

BAB.F1.19 – Length–weight relationship of brown trout in selected rivers of the West Morava River system (Serbia)
Tijana Z. Veličković, Aleksandra M. Milošković, Milena D. Radenković, Nataša M. Kojadinović, Đorđe D. Gajić, Vladica M. Simić

BAB.F1.20 – Bioinformatics analysis of prostate cancer-related microRNA panel miR-141-3p, miR-21-5p and miR-375-3p
Zorana Dobrijević, Sanja Goč, Suzana Matijašević Joković, Dušanka S. Savić-Pavićević, Olgica Nedić, Goran Brajušković

BAB.F1.21 – Bioinformatics analysis of microRNAs derived from HTR-8/SVneo potentially targeting BCL2 in ovarian cancer cell line A2780
Zorana Dobrijević, Sanja Goč, Jovana Vuković, Andrea Pirković

BAB.F1.22 – Numerical Modeling of Tumor Growth using Solid Murine 3D Finite Element Model
Aleksandar Nikolić, Bogdan Milićević, Vladimir Simić, Miljan Milošević, Miloš Kojić

BAB.F1.23 – Semantic segmentation of chest computed tomography scans for quantifying pathologically altered lung parenchyma in patients with post-COVID syndrome
Daniel Štifanić, Tin Nadarević, Jelena Štifanić, Igor Barković, Zlatan Car

BAB.F1.24 – Development of biocompatible polyurethanes as functional biomaterials for advanced wound healing applications
Ivan Ristić, Marija Krstić, Nikola Geskovski, Aleksandra Ivanoska-Dacikj, Petre Makreski, Nina Jokić, Jelena Tanasić

BAB.F1.25 – Coupled agent-based and finite element modelling of cancer cell behavior
Miljan Milošević, Vladimir Simić, Žiko Milanović, Ana Rilak Simić, Miloš Kojić

BAB.F1.26 – Structural Vulnerability of J-J Stents to Radiotherapy in Cervical Cancer Patients: Implications for Treatment Planning
Marija Živković Radojević, Miloš Grujić, Katarina Krasić, Katarina Janković, Tatjana B. Miladinović, Aleksandar Miladinović, Aleksandra Marković, Neda Milosavljević

BAB.F1.27 – Exploring (Alkyl-ω-ol)triphenyltin(IV) Compounds as Renin Inhibitors: Numerical modelling of diffusion process within finite element liver model
Vladimir Simić, Žiko Milanović, Emina Mrkalić, Miljan Milošević, Marko Antonijević, Goran Kaluđerović

BAB.F1.28 – FOTELP-VOX-GA: Integrating Genetic Algorithms into Monte Carlo Dose Calculation for Prostate Cancer
Filip Andrić, Milena Živković, Tatjana B. Miladinović, Aleksandar Miladinović, Dragana Krstić, Ana Krstić, Katarina Janković, Katarina Krasić, Marija Živković Radojević, Neda Milosavljević, Miloš Grujić

BBMC.F1.1 – Mechanochemical syntheses of Ru(II) complexes with isothiazole-type of ligand
Maja B. Đukić, Milica Kosović Perutović, Marija S. Ristić, Jana Mišurović, Teodora Stojović

BBMC.F1.2 – Synthesis, characterization, and antifungal activities of novel ferrocenyl pyrazolines containing sulfonamide moiety
Tamara Todorović, Jovana Muškinja, Nikola Srećković, Vladimir Mihailović, Violeta Marković

BBMC.F1.3 – Quantification of phenols, flavonoids, and sugars in two medicinal fungi: Fomes fomentarius (L.) and Schizophyllum commune (Fr.)
Jelena D. Božović, Bojan R. Konatar, Dušan V. Trajković, Aleksandar M. Vemić, Zlatan B. Radulović, Dragana Z. Živojinović

BBMC.F1.4 – Mineral content of honey from Serbia: analysis of essential and toxic elements
Dušan V. Trajković, Jelena D. Božović, Dragana Z. Živojinović

BBMC.F1.5 – Flavonoids from Thymus vulgaris and Thymus serpyllum and their antioxidative activity
Mina Miličić, Urban Bren, Veronika Furlan

BBMC.F1.6 – UHPLC-DAD-MS/MS phytochemical profiling of Geranium robertianum L. herba extract obtained by ultrasound-assisted extraction
Emina M. Mrkalić, Miroslav M. Sovrlić, Elma M. Šaćirović, Anica M. Petrović, Miloš N. Milosavljević, Jelena B. Zvezdanović, Aleksandar Petrušić, Sandra S. Konstantinović

BBMC.F1.7 – Synthesis and characterization of new Schiff bases with thiocarbohydrazide and some aromatic aldehydes and determination of their antioxidant potential
Miljan Bigović, Marija Kaluđerović, Jovana Jovanović, Nevena Prlainović, Željko Jaćimović

BBMC.F1.8 – EPR-based evaluation of antioxidant properties of novel Schiff bases
Miljan Bigović, Đura Nakarada, Marija Kaluđerović, Nevena Prlainović, Miloš Mojović

BBMC.F1.9 – Study of host–guest interaction between β-cyclodextrin and chromeno-pyrimidine derivative
Tamara M. Mladenović, Dušica M. Simijonović, Edina H. Avdović, Dejan A. Milenković, Samira Pljojović, Enver Karahmet, Zoran S. Marković

BBMC.F1.10 – Caffeine in deutero water: solvent isotope effect on hydration properties
Andrija Vukov, Teona Teodora Borović, Nikolet Cako Baganj, Jovana Selak, Snežana Papović, Sanja Belić, Slobodan Gadžurić, Milan Vraneš

BBMC.F1.11 – MADE-supported virtual screening for small-molecule furin inhibitors
Anja Kolarič, Vid Ravnik, Marko Jukič, Urban Bren

BBMC.F1.12 – Synthesis and structural characteristics of silver(I) complex with N-benzylthiabendazole
Darko P. Ašanin, Tina P. Andrejević, Nevena Lj. Stevanović, Bojana V. Pantović, Marta Počkaj, Jakob Kljun, Violeta R. Marković, Biljana Đ. Glišić

BBMC.F1.13 – The amino acid and fatty acid composition and antioxidant activity of functional snack products
Jovana D. Delić, Zorica M. Tomičić, Slađana M. Rakita, Marija R. Jokanović, Predrag M. Ikonić, Tatjana A. Peulić, Bojana B. Ikonić

BBMC.F1.14 – Crystallographic, quantum-chemical, and biomolecular interaction study of a europium(III) complex with pyridoxal-semicarbazone ligand
Dušan S. Dimić, Stefan G. Perendija, Violeta Jevtović, Jasmina M. Dimitrić Marković, Aleksandra A. Rakić

BBMC.F1.15 – Targeting thyroid cancer: in vitro analysis of a benzofuran-substituted chalcone compound
Elif Erturk, Aysen Sagnak, Ceren Tatarlar, Demet Coskun, Ferda Ari

BBMC.F1.16 – Binding interactions of Biginelli-type compounds with serum albumin and DNA
Emilija Milović, Lazar Milović, Milica Međedović Stefanović, Ana Rilak Simović, Nenad Janković

BBMC.F1.17 – Biomolecular interactions of novel Ruthenium(II) complexes with human serum albumin
Milica Međedović Stefanović, Ana Rilak Simović, Nenad Janković, Emilija Milović, Biljana Petrović

BBMC.F1.18 – In silico evaluation of drug-likeness properties of steroidal semicarbazones and steroidal oxazolo[4.5-b]quinoxalines
Marijana B. Živković, Sandra Šegan, Dušan M. Sladić

BBMC.F1.19 – Evaluating the ADMET properties of Isosteric Substitution in Schiff Base Derivatives
Marina D. Kostić, Jasmina M. Obradović, Jovana S. Dragojević, Vera M. Divac

BBMC.F1.20 – In Silico Evaluation of Tryptamine-Derived Schiff Bases as Modulators of the Serotonin 5-HT2A Receptor
Marina D. Kostić, Jana Nedić, Jovana S. Dragojević, Vera M. Divac

BBMC.F1.21 – Novel Cadmium Dithiocarbamate Complex
Milena M. Šutović, Maja B. Đukić, Milica M. Kosović Perutović, Mirjana M. Radanović, Zorica B. Leka

BBMC.F1.22 – Novel Isochromene-Fused CF3-Substituted Pyrazole Compounds Induce Cytotoxicity through Caspase Mediated Apoptosis
Milica Marković, Nađa Grozdanić, Ana Andrijević, Milica Selaković, Andrea Nikolić, Igor Opsenica, Tatjana Stanojković

BBMC.F1.23 – Combination Chemo-Targeting of NSCLC Cells with Docetaxel and Niclosamide: A Multimodal Cell Death
Sibel Cinar-Asa, Gonca Tuna, Ferda Ari

BBMC.F1.24 – Synthesis, theoretical analysis, and HSA/DNA binding activity of the [RuCl2(η6-p-cymene)(bph-κN)] complex
Stefan G. Perendija, Aleksandra A. Rakić, Dušan S. Dimić, Thomas Eichhorn, Jasmina M. Dimitrić Marković, Goran N. Kaluđerović

BBMC.F1.25 – Synthesis and structural characterization of a new silver(I) complex with miconazole
Darko P. Ašanin, Nevena Lj. Stevanović, Tina P. Andrejević, Bojana V. Pantović, Jakob Kljun, Biljana Đ. Glišić

BBMC.F1.26 – β-Cyclodextrin Inclusion Complex – In vitro Assessment of the Antioxidant
Tamara M. Mladenović, Dušica M. Simijonović, Edina H. Avdović, Dejan A. Milenković, Sandra Jovičić Milić, Danijela Stojković, Zoran S. Marković

BBMC.F1.27 – Bioavailability of Selenium Supplementation: Relevance to Maternal Health and Product Quality Assessment
Jelena Milić, Nikoleta Lugonja, Aleksandar Rakić, Jelena Brakus, Bojana Ivić

BBMC.F1.28 – Selenium-Related Gene Activation in Fetal Growth Restriction Placentas: A Bioinformatics Analysis
Aleksandar Rakić, Jelena Brakus, Nikoleta Lugonja, Jelena Milić

BBMC.F1.29 – Comparison between mechanochemical and solution synthesis of ammonium-iminodiacetatedithiocarbamate
Milica Kosović Perutović, Teodora Stojović, Maja B. Đukić, Marija S. Ristić, Zorica Leka

BBMC.F1.30 – Synergistic antibacterial effect of copper complex and Lythrum salicaria plant extract
Ana Kesić, Andrija Gigić, Mirjana Grujović, Katarina Marković, Nikola Srećković, Dragana Stevanović, Jovana Bugarinović, Jovana Bogojeski

BBMC.F1.31 – DNA/BSA interactions of new gold(III) complexes with some pyridine-containing ligands
Bojana V. Pantović, Tina P. Andrejević, Nevena Lj. Stevanović, Darko P. Ašanin, Biljana Đ. Glišić

Abstract: The Clinical Sciences and Translational Medicine (CSTM) theme at Coventry University’s Research Centre for Health and Life Sciences integrates biomedical research, clinical expertise, and technological innovation to address pressing global cardiovascular and metabolic health challenges. Focusing on prevention, early diagnosis, and improved management, the theme’s interdisciplinary research targets conditions including heart failure (HF), type 2 diabetes (T2D), obesity, and related comorbidities. Collaborative projects span local partnerships with University Hospital Coventry and Warwickshire to international networks across Europe, Africa, Asia, and the USA, ensuring clinical relevance and global applicability. Key initiatives include STRATIFYHF, an AI- and computational modelling-based decision support system for HF risk prediction and early diagnosis; the CMB Study, investigating movement behaviours and cardiometabolic health in UK Black adults; BA-Heart, assessing acute cardiovascular effects of beta-alanine supplementation; and the CORS test, enhancing HF diagnostic accuracy in primary care. Additional studies address school-based interventions for disadvantaged children, HRV assessment validity using disposable ECG leads, and a wide range of physiological and clinical investigations. Beyond research, the CSTM fosters academic citizenship through postgraduate training, supervision, and scholarly service, contributing over 50 high-impact publications since 2021. Strategic knowledge transfer is achieved through partnerships with healthcare providers, community organisations, and industry, translating research outcomes into scalable, cost-effective solutions. By combining laboratory discovery with real-world application, CSTM advances scientific understanding, optimises patient outcomes, and builds capacity for future health leaders. This translational framework positions Coventry University as a leading hub for impactful cardiovascular and metabolic research with sustained global influence.

Abstract: Coronaviruses are our everyday companions and are named after crown spikes located on their surface. Sometimes coronaviruses, which usually infect animals, can skip to human hosts. The novel virus (SARS-CoV-2) was reported in December of 2019 to be originating from Wuhan, Hubei China. In the early 2020, the virus spread, causing a global pandemic of COVID-19. Using advanced ensamble molecular docking simulations, followed be extensive molecular dynamics simulations coupled with empirical free-energy calculations we have identified hit compounds against 3CLPRO, PLPRO, and RDRP SARS-CoV-2 protein targets. We have also experimentally confirmed their inhibition with IC50 values in the low μM range. Further experimental verification is essential to validate our computational predictions.

Abstract: As a continuation of our research on model myelin membranes (MMM), in which we revealed that MMM that mimic normal (healthy) myelin are more fluid at 30 °C than those that mimic modified (diseased) myelin, we aimed to unveil the contribution of cholesterol in MMM thermotropic properties. Accordingly, we prepared MMM as lipid mixtures in the presence and absence of myelin basic protein (MBP), but excluding cholesterol (named MMM’). Using differential scanning calorimetry (DSC) and temperature-dependent UV-Vis spectroscopy, we determined the main phase transition temperature (Tm) of MMM’, i.e., the temperature of the gel-to-fluid phase transition of lipids in MMM’ systems. Besides the discrepancies obtained by these two techniques, we identified a difference of about 5 °C between normal and modified MMM’, independently of MBP. As evidenced by the maintenance and weakening of van der Waals forces at 30 °C and 60 °C, respectively, the fluidity of normal and modified MMM’ is comparable at a corresponding temperature. The modified MMM’ reflected different polar headgroup hydration than normal MMM’ at 30 °C, which is very likely associated with the stabilization of the gel phase in modified MMM’.

Abstract: Azole derivatives represent one of the most important classes of antifungal agents, acting as inhibitors of fungal cytochrome P450-dependent lanosterol 14α-demethylase, a key enzyme involved in ergosterol biosynthesis. The coordination of azoles with silver(I) ions has attracted growing attention as the resulting metal complexes can exhibit improved biological activity and therapeutic profiles compared to the parent ligands. This article reports on the synthesis, structural characterization, and biological evaluation of silver(I) complexes with selected azoles used in the treatment of fungal infections (clotrimazole, econazole, and voriconazole). The synthesized complexes were characterized using NMR, IR, and UV-Vis spectroscopy, mass spectrometry, and cyclic voltammetry, while their crystal structures were determined by single-crystal X-ray diffraction analysis. In most cases, the synthesized complexes showed enhanced anti-Candida activity compared to the parent antifungal azoles. Moreover, the corresponding silver(I) complexes demonstrated better activity in preventing hyphae and biofilm formation by C. albicans at subinhibitory concentrations, which is a highly desirable property for a new antimicrobial agent. In addition, these complexes were significantly more effective at inhibiting ergosterol synthesis in the cell membrane of C. albicans at 0.5 × MIC. Taken together, these findings suggest that compounds formed via the complexation of silver(I) ions with antifungal azoles merit further investigation as potential new antifungal agents, offering improved efficacy and safety over clinically used azoles in the treatment of life-threatening Candida infections.

BAB.F2.1 – Evaluation of genotoxic potential of ethyl methanesulfonate in human peripheral blood mononuclear cells in silico and in vitro
Marijana D. Janić, Mila N. Kostić, Ksenija M. Radošević, Ana P. Valenta Šobot, Jelena G. Filipović Tričković, Tatjana G. Momić

BAB.F2.2 – Investigating protein folding as a target for neurodegenerative disorders using a biological activity prediction model based on deep learning
Thomas Papikinos, Marios Krokidis, Aris Vrahatis, Panagiotis Vlamos, Themis Exarchos

BAB.F2.3 – Effect of Amyloid-beta Exposure on Phospholipid Dynamics: A Computational and Cellular Perspective
Maria-Christina P. Papatheodorou, Themis P. Exarchos, Panagiotis Μ. Vlamos, Marios G. Krokidis

BAB.F2.4 – Enhanced polyphenolic extraction efficiency and antioxidant activity of sage using a deep eutectic solvent based on choline chloride and urea
Marijana D. Janić, Jelena G. Filipović Tričković, Ana P. Valenta Šobot, Ksenija M. Radošević, Mila N. Kostić, Tatjana G. Momić

AST.F2.1 – Transforming the Automotive Industry: The Role of Artificial Intelligence in Autonomous Vehicles, Manufacturing, and Urban Mobility
Igor Saveljic, Ognjen Matic, Slavica Macuzic Saveljic, Nenad Filipovic

AST.F2.2 – Reflection-mode frequency modulated photoacoustics of thin Tungsten-based films by novel functional characterization experimental setup
Mioljub Nešić, Stefan Jovanovski, Iva Popović

AST.F2.3 – Smoothed Particle Hydrodynamics (SPH) for Modelling Microfluidic Flow through 3D Printed Copper Filters
Nikola Kotorcevic, Milos Ivanovic, Ana Kaplarevic Malisic, Nikola Milivojevic, Nenad Grujovic, Fatima Zivic

Abstract: Sustained sleep loss dramatically shortens lifespan, and clinical data link poor sleep with diseases like Diabetes, Alzheimer’s, cardiovascular disease, and cancer. The variety of problems suggests that multiple tissues might be affected, yet most efforts to understand sleep remain focused on the brain. The connection between sleep, health, and life itself remains one of the biggest unsolved biological mysteries. The team’s previous paradigm-shifting work revealed that severe sleep loss leads to high levels of reactive oxygen species (ROS) specifically in the gut, which causes gut damage and can result in early death. The overarching goal of the current work is to explain how sleep loss triggers ROS production, and how the consequent gut oxidation impacts the rest of the body. Using a combination of advanced genetic, genomic, and imaging techniques, the team will build a whole-body framework for understanding the detrimental effects of sleep restriction.

Abstract: Translational approaches in cancer research aim to accelerate the transfer of fundamental scientific discoveries into clinical applications, providing a multidisciplinary framework for innovative diagnostics, therapeutic strategies, and preventive interventions. The integration of multi-omics data—encompassing genomic, transcriptomic, proteomic, metabolomic, and epigenomic profiles—offers a robust platform for unraveling the complex molecular landscape of tumors and identifying clinically relevant biomarkers. Patient-derived organoids and cell line models further enhance the predictive power of these analyses by enabling accurate modeling of tumor initiation, progression, and treatment response. Methodologically, mutation, methylation, RNA, and miRNA sequencing data were analyzed using R-based packages including Maftools, DESeq2, ELMER, MultiAssayExperiment, mirNet, and WGCNA, with network visualizations performed in Cytoscape. Over-representation analyses on highly correlated genes/miRNAs from PCA across clinical parameters facilitated the identification of the most statistically discriminative biomarkers. Overall, the validation of multi-omic findings using organoid and cell models significantly enhanced the reliability and efficiency of biomarker research. This integrated approach enables rapid identification and functional validation of predictive and prognostic biomarkers, supporting the development of personalized therapeutic strategies in lung cancer. By linking molecular-level insights to clinically actionable targets, this workflow strengthens translational research and informs precision oncology decision-making.

Abstract: Inverse molecular docking fingerprinting (IMDF) extends classical inverse docking by combining large-scale docking against thousands of experimentally resolved human protein binding sites with a standardized, quantitative representation of ligand–target interaction patterns. Namely, each compound is docked into a comprehensive, highly non-redundant database of protein binding sites and its docking scores are transformed into a multidimensional fingerprint reflecting the binding potential. Similarity between fingerprints can then be quantified and subjected to clustering experiments. This enables the identification of high-scoring potential targets enriched across multiple ligands and distinct groups of compounds sharing comparable binding profiles. Moreover we postulate structural or physicochemical features most likely responsible for target engagement can be effectively inferred. As application examples; drug repurposing against SARS-CoV-2 and binding of phytocannabinoids, IMDF successfully recovered known targets, revealed novel potential therapeutic proteins and clustered chemically diverse ligands into interpretable structural classes reflecting common modes of action. By decoupling ligand clustering from direct chemical similarity, IMDF provides a powerful cheminformatics tool to map chemical space and guide the prioritization of underexplored molecules or scaffolds for follow-up studies. This makes it especially valuable for elucidating mechanisms of action and discovering new protein–ligand interaction profiles.

Abstract: Understanding why certain organs such as heart resist cancer metastasis remains a major challenge in oncology. Here, we present a microphysiological platform capable of modeling multi-organ interactions under dynamic conditions. This system enables investigation of tissue-specific responses to cancer invasion and offers new opportunities for studying organ-selective mechanisms in disease progression.

GRASPMAT.1 – Grape Skin Extract Hydrogel Restores Systemic Redox Balance in Diabetic Rats
Marko Z. Simic, Jovana V. Bradic, Aleksandar G. Kocovic, Anica M. Petrovic, Vladimir Jakovljevic, Edina Avdovic

GRASPMAT.2 – Grape Skin Extract–Enriched Hydrogels for Wound Healing: An Antioxidant-Based Approach
Aleksandar Kocovic, Jovana Bradic, Anica Petrovic, Marko Simic, Vladimir Jakovljevic, Edina Avdovic

GRASPMAT.3 – Formulation of Alginate–Gelatin Hydrogels within a Circular Economy Framework: Controlled Release of Grape Skin Extract via Gelatin Content Modulation
Jovana V. Bradic, Aleksandar G. Kocovic, Anica M. Petrovic, Marko Z. Simic, Vladimir Jakovljevic, Edina Avdovic, Vukasin Dj. Ugrinovic

GRASPMAT.4 – Rational Design of Apigenin Derivatives as Potent Inflammatory Modulators for Improved Diabetic Wound Healing
Marko Antonijević, Sandra Jovičić Milić, Edina Avdović, Dejan Milenković, Zoran Marković