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Ulrich Günther

Publications and source records attributed to Ulrich Günther.

4 recordsLinked to original sources

Automated protein NMR structure determination using wavelet de-noised NOESY spectra.

A major time-consuming step of protein NMR structure determination is the generation of reliable NOESY cross peak lists which usually requires a significant amount of manual interaction. Here we present a new algorithm for automated peak picking involving wavelet de-noised NOESY spectra in a process where the identification of peaks is coupled to automated structure determination. The core of this method is the generation of incremental peak lists by applying different wavelet de-noising procedures which yield peak lists of a different noise content. In combination with additional filters which probe the consistency of the peak lists, good convergence of the NOESY-based automated structure determination could be achieved. These algorithms were implemented in the context of the ARIA software for automated NOE assignment and structure determination and were validated for a polysulfide-sulfur transferase protein of known structure. The procedures presented here should be commonly applicable for efficient protein NMR structure determination and automated NMR peak picking.

Algorithms↗

Using wavelet de-noised spectra in NMR screening.

Principal component analysis (PCA) is a commonly used algorithm in multivariate analysis of NMR screening data. PCA substantially reduces the complexity of data in which a large number of variables are interrelated. For series of NMR spectra obtained for ligand binding, it is commonly used to visually group spectra with a similar response to ligand binding. A series of filters are applied to the experimental data to obtain suitable descriptors for PCA which optimize computational efficiency and minimize the weight of small chemical shift variations. The most common filter is bucketing where adjacent points are summed to a bucket. To overcome some inherent disadvantages of the bucketing procedure we have explored the effect of wavelet de-noising on multivariate analysis, using a series of HSQC spectra of proteins with different ligands present. The combination of wavelet de-noising and PCA is most efficient when PCA is applied to wavelet coefficients. This new algorithm yields good clustering and can be applied to series of one- or two-dimensional spectra.

Hydrogen↗

A strategy to obtain backbone resonance assignments of deuterated proteins in the presence of incomplete amide 2H/1H back-exchange.

Replacement of non-exchangeable protons by deuterons has become a standard tool in structural studies of proteins on the order of 30-40 kDa to overcome problems arising from rapid (1)H and (13)C transverse relaxation. However, (1)H nuclei are required at exchangeable sites to maintain the benefits of proton detection. Protein expression in D(2)O-based media containing deuterated carbon sources yields protein deuterated in all positions. Subsequent D/H-exchange is commonly used to reintroduce protons in labile positions. Since this strategy may fail for large proteins with strongly inhibited exchange we propose to express the protein in fully deuterated algal lysate medium in 100% H(2)O. As a side-effect partial C(alpha) protonation occurs in a residue-type dependent manner. Samples obtained by this protocol are suitable for complementary (1)H(N)- and (1)H(alpha)-based triple resonance experiments allowing complete backbone resonance assignments in cases where back-exchange of amide protons is very slow after expression in D(2)O and refolding of chemically denatured protein is not feasible. This approach is explored using a 35-kDa protein as a test case. The degree of C(alpha) protonation of individual amino acids is determined quantitatively and transverse relaxation properties of (1)H(N) and (15)N nuclei of the partially deuterated protein are investigated and compared to the fully protonated and perdeuterated species. Based on the deviations of assigned chemical shifts from random coil values its solution secondary structure can be established.

Amides↗

Probing Src homology 2 domain ligand interactions by differential line broadening.

Few techniques for probing the role of individual amino acids in interactions of a protein with ligands are available. Chemical shift perturbations in NMR spectra provide qualitative information about the response of individual amino acids of a protein to its interactions with ligands. Line shapes derived from (15)N-HSQC spectra recorded for different steps of a ligand titration yield both kinetic constants and insight into mechanisms by which the ligand binds. Here we have analyzed line shapes for 37 signals of amino acids of the N-terminal src homology 2 domain (N-SH2) of the 85 kDa subunit of phosphatidylinositol 3-kinase (PI3-K) upon binding of phosphotyrosine (ptyr)-containing peptides. Kinetic rates at individual amino acids of the SH2 varied throughout the structure. For a subset of SH2 residues, the fine structure of the NMR line shapes indicated slow motions induced by the presence of small amounts of the ligand. These complex line shapes require one or more additional conformational states on the kinetic pathway. Modeling of the observed ligand interactions suggests a quasi-allosteric initial binding step. N-SH2 mutants with altered ligand affinity or specificity were also examined. Analysis of their line shapes revealed three distinct classes of mutants with different kinetic behaviors.

Isoleucine↗