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Projects / Programmes source: ARIS

Evaluation of transient protein states

Research activity

Code Science Field Subfield
1.04.00  Natural sciences and mathematics  Chemistry   

Code Science Field
1.04  Natural Sciences  Chemical sciences 
Keywords
transient protein states; ligand-protein interactions; solution NMR; vibrational spectroscopy; atomistic molecular dynamics simulations; principal component analysis
Evaluation (metodology)
source: COBISS
Organisations (2) , Researchers (17)
0104  National Institute of Chemistry
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  15686  PhD Gregor Anderluh  Biochemistry and molecular biology  Researcher  2022 - 2025  1,009 
2.  08329  PhD Simona Golič Grdadolnik  Chemistry  Head  2022 - 2025  339 
3.  39078  PhD Tjaša Goričan  Chemistry  Researcher  2023 - 2025  35 
4.  08523  PhD Jože Grdadolnik  Chemistry  Researcher  2022 - 2025  269 
5.  57301  Aljoša Marinko    Technical associate  2023 - 2025 
6.  13627  PhD Franci Merzel  Computer intensive methods and applications  Researcher  2022 - 2025  234 
7.  50459  Iza Ogris  Chemistry  Young researcher  2022 - 2023  47 
8.  50851  PhD Francesca Paoletti  Chemistry  Researcher  2022  42 
9.  54913  Neli Sedej  Computer intensive methods and applications  Technical associate  2022 - 2025 
10.  39115  PhD Marko Sever  Pharmacy  Young researcher  2022  12 
11.  38473  Tomaž Švigelj    Technical associate  2022  11 
12.  28608  PhD Barbara Zupančič  Computer intensive methods and applications  Researcher  2022 - 2025  190 
0787  University of Ljubljana, Faculty of Pharmacy
no. Code Name and surname Research area Role Period No. of publicationsNo. of publications
1.  15284  PhD Stanislav Gobec  Pharmacy  Researcher  2022 - 2025  899 
2.  32036  PhD Martina Hrast Rambaher  Pharmacy  Researcher  2022 - 2025  181 
3.  30816  PhD Izidor Sosič  Pharmacy  Researcher  2022 - 2025  287 
4.  28334  PhD Tihomir Tomašić  Pharmacy  Researcher  2022 - 2025  432 
5.  53670  PhD Živa Zajec  Pharmacy  Researcher  2022 - 2025  34 
Abstract
Despite recent advances in biophysical techniques and computational approaches for the investigation of biomolecular systems, the characterization of the dynamic equilibria of protein states remains a demanding challenge due to the elusive nature of the dynamic processes that regulate these equilibria. In particular, the sparsely populated, transient states are difficult to characterize at the atomic level because they are ""invisible"" to the biophysical methods that detect protein states with the lowest energy or the highest abundance. There is growing evidence for the importance of transient, thermally accessible protein states in the biological function of proteins. The main goal of the proposed project is to develop a combined experimental and theoretical approach for the physicochemical characterization at the atomic level of transient protein states close to physiological conditions in aqueous environments. The characterization will allow to relate them to the specific dynamic event that is important for their function. To overcome the problems of averaging and signal assignment, a combination of solution NMR and vibrational spectroscopy operating on different time scales will be used. Together, these spectroscopies can provide access to transient molecular states in dynamic exchange on time scales from picoseconds to milliseconds. To obtain a model-based understanding of the correlation between each type of motion and its effect on dynamic equilibria of states, we will use atomistic molecular dynamic simulations. Algorithms for numerical analysis of the correlation between experimental and computational results will be developed to understand the influence of the individual contributions of the coupled motions on the distribution of protein states. Proteins of different families will be studied, covering a wide range of dynamic events that can cause transitions between thermally accessible protein states. The functional role of the selected proteins in biological processes cannot be comprehensively understood without examining the dynamic equilibria between their possible states without and/or with their binding partners. The expected results may provide presently unforeseen insights into the function of these proteins in health and disease. The developed approach will be widely applicable to the characterization of transient protein states at the atomic level in aqueous environments. The results of the proposed studies can contribute significantly to the understanding of protein function in health and disease and will be of great interest to many specific research areas, such as molecular recognition, molecular signal transduction, enzyme catalysis, protein folding and binding, and target-based design and drug discovery.
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