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Projects / Programmes source: ARIS

Understanding the mechanisms and prevention of aggregation of biopharmaceutic proteins

Research activity

Code Science Field Subfield
4.06.00  Biotechnical sciences  Biotechnology   

Code Science Field
2.09  Engineering and Technology  Industrial biotechnology 
Keywords
biopharmaceutic proteins, monoclonal antibodies, high-throughput screening, peptide library, protein formulation, protein aggregation and self-association, protein stability and solubility, nuclear magnetic resonance, biomolecular simulations, dynamic light scattering
Evaluation (metodology)
source: COBISS
Points
6,921.64
A''
2,111.92
A'
5,029.7
A1/2
5,719.15
CI10
18,726
CImax
3,015
h10
50
A1
25.49
A3
5.55
Data for the last 5 years (citations for the last 10 years) on January 29, 2026; Data for score A3 calculation refer to period 2020-2024
Data for ARIS tenders ( 04.04.2019 – Programme tender, archive )
Database Linked records Citations Pure citations Average pure citations
WoS  353  20,929  19,730  55.89 
Scopus  349  22,900  21,655  62.05 
Organisations (1) , Researchers (19)
0794  University of Maribor, Faculty of Chemistry and Chemical Engineering
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  59896  Adela Avdičević  Chemistry  Researcher  2025 - 2026 
2.  25434  PhD Urban Bren  Chemistry  Researcher  2023 - 2026  443 
3.  53575  PhD Matic Broz  Chemistry  Young researcher  2023 
4.  50420  PhD Tine Curk  Chemistry  Researcher  2023  44 
5.  59205  Miha Fermišek  Chemistry  Researcher  2025 - 2026  10 
6.  57143  Franjo Frešer  Chemistry  Researcher  2023 - 2026  17 
7.  50635  PhD Veronika Furlan  Chemistry  Researcher  2023 - 2024  48 
8.  34351  PhD Gregor Hostnik  Chemistry  Researcher  2023 - 2026  87 
9.  32587  PhD Marko Jukič  Pharmacy  Researcher  2023 - 2026  209 
10.  38261  PhD Anja Kolarič  Pharmacy  Researcher  2023  38 
11.  25435  PhD Janez Konc  Computer intensive methods and applications  Researcher  2023 - 2024  245 
12.  55088  Sebastjan Kralj  Biotechnology  Researcher  2023  18 
13.  37452  PhD Samo Lešnik  Pharmacy  Researcher  2023 - 2026  67 
14.  30953  PhD Mitja Mitrovič  Microbiology and immunology  Researcher  2023  57 
15.  55902  Vid Ravnik  Chemistry  Researcher  2023 - 2026  22 
16.  55319  Zala Štukovnik  Chemistry  Researcher  2023 - 2026  13 
17.  52708  Sara Štumpf Horvat  Chemistry  Researcher  2023 - 2026  24 
18.  52709  PhD Jelena Tošović  Chemistry  Researcher  2023  62 
19.  56212  PhD Matja Zalar  Biotechnology  Head  2023 - 2026  63 
Abstract
Biopharmaceutic proteins, especially monoclonal antibodies, are the fastest growing class of pharmaceutics globally, due to their high affinity, specificity and non-toxicity. Despite their versatility and wide applicability, their production is costly and poses unique challenges due to their high molecular weight and structural complexity as well as from instabilities like aggregation that lead to loss of quality and efficacy, limit their shelf life and can induce life-threatening immunogenic response. Protein aggregation is thus considered one of the major challenges in biopharmaceutic protein formulation with various strategies being employed to characterise protein aggregation and prevent it. Protein aggregation occurs through association of aggregation prone regions (APR) which can be located on protein surface or that get exposed upon partial unfolding of the proteins. These regions are experimentally difficult to detect and isolate due to their transient nature therefore high-resolution structural insight into APR composition remains elusive. Motivated by recent advances showing that these APRs can be detected by peptide array screening and that results of such screening correlate with aggregation propensity of proteins, we propose to develop a peptide library that will be used for a high-throughput nuclear magnetic resonance (NMR) screening that will provide structural insight into aggregation prone regions of native as well as partially unfolded protein species. NMR screening will be complemented with biomolecular simulations and traditional biophysical methods for characterisation of protein aggregation. We will also assess how small molecule excipients that bind to APRs influence the protein-protein interactions and mitigate protein aggregation. This project will contribute to understanding of molecular basis of protein self-association and aggregation which is crucial for rational design of more stable biopharmaceutic proteins in the future, that will reduce waste and significantly lower their production cost making them more accessible to all patients.
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