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Biology subjects

Guentert, P.

Publications and source records attributed to Guentert, P..

3 recordsLinked to original sources

The NMR Exchange Format (NEF): Specification and Applications

The NMR Exchange Format (NEF) is a community-driven standard for representing NMR experimental data in a consistent, interoperable, and machine-readable form. Built on the STAR syntax, NEF provides a structured framework for storing and exchanging chemical shifts, peak lists, various types of structural restraints, and related metadata, thus allowing for data exchange across software platforms. By enabling direct, lossless transfer of information, NEF simplifies multi-software workflows, improves reproducibility, and supports FAIR (Findable, Accessible, Interoperable, Reusable) data principles. We describe the NEF specification, its current implementation across commonly used NMR software packages, and its application in areas including biomolecular structure determination, metabolomics, and ligand screening. Testing demonstrates that NEF can be used to exchange complete datasets between programs without loss of information or functionality. We also outline recent developments and future directions, such as inclusion of NMR relaxation data and support for non-standard residue topologies. NEFs growing adoption highlights its potential as a unifying standard for NMR data, enabling more efficient, transparent and collaborative research.

biochemistry↗

Multi-state structure determination and dynamics analysis reveals a new ubiquitin-recognition mechanism in yeast ubiquitin C-terminal hydrolase

Despite accumulating evidence that protein dynamics is indispensable for understanding the structural basis of biological activities, it remains challenging to visualize the spatial description of the dynamics and to associate transient conformations with their molecular functions. We have developed a new NMR protein structure determination method for the inference of multi-state conformations using multiple types of NMR data, including paramagnetic NMR and residual dipolar couplings, as well as conventional NOEs. Integration of these data in the structure calculation permits delineating accurate ensemble structures of biomacromolecules. Applying the method to the protein yeast ubiquitin hydrolase 1 (YUH1), we find large dynamics of its N-terminus and crossover loop surrounding the active site for ubiquitin-recognition and proteolysis. The N-terminus gets into and out of the crossover loop, suggesting their underlying functional significance. Our results, including those from biochemical analysis, show that large motion surrounding the active site contributes strongly to the efficiency of the enzymatic activity.

biophysics↗

Proteome-wide analysis of phospho-regulated PDZ domain interactions through phosphomimetic proteomic peptide phage display

We report phosphomimetic proteomic peptide-phage display, a powerful large-scale method for finding ligands of short linear motif binding domains that simultaneously pinpoint functional Ser/Thr phosphosites in three steps. First, we computationally designed an oligonucleotide library encoding all human C-terminal peptides containing known or predicted Ser/Thr phosphosites and phosphomimetic variants thereof. Second, we incorporated these oligonucleotides into a phage library. Third, we screened the six PDZ (PSD-95/Dlg/ZO-1) domains of Scribble and DLG1 for binding and identified known and novel ligands from the human proteome, and whether these interactions may be regulated by ligand phosphorylation. We demonstrate that the Scribble PDZ domains preferentially bind to ligands with phosphomimetic mutations at two distinct positions, and show that the equilibrium dissociation constant for Scribble PDZ1 with the C-terminal peptide of RPS6KA2 is enhanced over four-fold by phosphorylation. We elucidate the molecular determinants of phosphopeptide binding through NMR structure determination and mutational analysis. Finally, we discuss the role of Ser/Thr phosphorylation as a switching mechanism of PDZ domain interactions.

biochemistry↗