Fast high-resolution protein structure determination by using unassigned NMR data.
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Biomedical subjects
Publications and source records attributed to Young-Sang Jung.
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In idiopathic Parkinson's disease, intracytoplasmic neuronal inclusions (Lewy bodies) containing aggregates of the protein alpha-synuclein (alphaS) are deposited in the pigmented nuclei of the brainstem. The mechanisms underlying the structural transition of innocuous, presumably natively unfolded, alphaS to neurotoxic forms are largely unknown. Using paramagnetic relaxation enhancement and NMR dipolar couplings, we show that monomeric alphaS assumes conformations that are stabilized by long-range interactions and act to inhibit oligomerization and aggregation. The autoinhibitory conformations fluctuate in the range of nanoseconds to micro-seconds corresponding to the time scale of secondary structure formation during folding. Polyamine binding and/or temperature increase, conditions that induce aggregation in vitro, release this inherent tertiary structure, leading to a completely unfolded conformation that associates readily. Stabilization of the native, autoinhibitory structure of alphaS constitutes a potential strategy for reducing or inhibiting oligomerization and aggregation in Parkinson's disease.
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MARS a program for robust automatic backbone assignment of (13)C/(15)N labeled proteins is presented. MARS does not require tight thresholds for establishing sequential connectivity or detailed adjustment of these thresholds and it can work with a wide variety of NMR experiments. Using only (13)C(alpha)/(13)C(beta) connectivity information, MARS allows automatic, error-free assignment of 96% of the 370-residue maltose-binding protein. MARS can successfully be used when data are missing for a substantial portion of residues or for proteins with very high chemical shift degeneracy such as partially or fully unfolded proteins. Other sources of information, such as residue specific information or known assignments from a homologues protein, can be included into the assignment process. MARS exports its result in SPARKY format. This allows visual validation and integration of automated and manual assignment.
A prerequisite for NMR studies of protein-ligand interactions or protein dynamics is the assignment of backbone resonances. Here we demonstrate that protein assignment can significantly be enhanced when experimental dipolar couplings (RDCs) are matched to values back-calculated from a known three-dimensional structure. In case of small proteins, the program MARS allows assignment of more than 90% of backbone resonances without the need for sequential connectivity information. For bigger proteins, we show that the combination of sequential connectivity information with RDC-matching enables more residues to be assigned reliably and backbone assignment to be more robust against missing data. Structural or dynamic deviations from the employed 3D coordinates do not lead to an increased error rate in RDC-supported assignment. RDC-enhanced assignment is particularly useful when chemical shifts and sequential connectivity only provide a few reliable assignments.