Browsing by Subject "NMR"
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(2022)Master's thesis project includes the backbone assignment of the human activity-regulated cytoskeleton-associated protein C-lobe (hArc, Uniprot ID: Q7LC44), 7-fluoroindole-based tryptophan-labeling method, and comparing that with the 100% double-labeled and 20%(13C) fractionally labeled samples. The project focuses on the effects of 7-fluoroindole-based fluorotryptophan-labeling. hArc C-lobe has only one tryptophan, which makes the analysis easier. Typically fluorotryptophan-labeling is a costly method – fluorotryptophan itself is very expensive and attaching the fluorine to the tryptophan while expressing is expensive and complicated. Fluoroindolebased labeling circles around the problem, as indole and serine are used in procaryotic systems for tryptophan biosynthesis – meaning that fluoroindole, which is cheap, could be used as an alternative for previous methods. Fluoro-labeled tryptophan is used in protein NMR; for example, in binding studies – fluorine-probes are sensitive, and binding of ligand or protein would move these peaks, indicating binding. This project aims to get an insight into the application of this labeling method. The goal is to see if one could utilize one sample with both (1H, 15N, 13C) labeling and 7-fluorotryptophan labeling for binding and structural studies. However, fluorine is very electronegative, affecting surrounding structures and possibly sequentially nearby amino acids. This possible effect will be observed and determined by comparing the 1H15N-chemical shifts between well-established labeling methods and fluoroindolebased labeling. To determine what amino acids in the protein are affected, if they are affected, will be determined by using the backbone assignment results and the results from the sample comparisons.
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(2024)Intrinsically disordered proteins (IDPs) consist of charged, and polar amino acids, lacking bulky hydrophobic residues and they do not have a single well-defined 3D structure. They are found in all domains of life with higher abundance in eukaryotes, covering approximately 30% of the eukaryotic proteome. IDPs have key roles in many biological processes from cell signaling to phase-separation phenomena. Particularly, disordered protein regions serving as linkers, have been found in many multidomain proteins and they play a decisive role in the protein’s function. In the present thesis we aim to identify the correlation between sequence and rigidity disordered linkers, utilizing a synergistic method of Nuclear Magnetic Resonance (NMR) experiments and Molecular Dynamic (MD) simulations. For that purpose, glycine and proline rich disordered linkers which are widely utilized for constructing fusion proteins were used. Additionally, we aim to characterize the rigidity of the the disordered repetitive domain of the major ampullate type I dragline silk protein, using the same approach which served to connect the two terminal folded domains inside the protein. Dragline silk has been under thorough investigation due to its favorable mechanical properties and applications in material science. NMR spin relaxation times T1, T2 and hetNOE, are highly sensitive probes to motional timescales of IDPs, but they are difficult to interpret in terms of molecular dynamics. Here, we use the spin relaxation times to validate the MD simulations which in turn are set to interpret the linkers’ internal motions. Using the quality evaluation approach QEBSS, the best simulations were identified as the best description of the conformational ensemble, based on the comparison with the experimental spin relaxation times. Systematic differences in spin relaxation times correlate with systematic changes in the linkers rigidity, proving that spin relaxation times can be used to detect disordered linker rigidity. Prolines are shown to induce a comparatively expanded conformation ensemble with significantly slower dynamics whereas glycines offer flexibility. The ensemble of the repetitive domain of the silk protein showed conformations with intermediate rigidity. We also demonstrate that the synergy of NMR and MD simulations can be used for characterizing the rigidity-sequence interplay in short glycine and proline disordered linkers and silk protein systems. Being able to tune the properties of flexible and rigid linkers can be fundamental for understanding different biological systems and for protein engineering purposes. Bioengineering applications include designing and optimizing fusion protein linkers that in the long term be useful for drug design and developing protein-based biomaterials.
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