Biomedical subjects

Vladislav Yu Orekhov

Publications and source records attributed to Vladislav Yu Orekhov.

7 recordsLinked to original sources

PubMed2003

Off-resonance R1rho relaxation outside of the fast exchange limit: an experimental study of a cavity mutant of T4 lysozyme.

An (15)N off-resonance R(1rho) spin relaxation study of an L99A point mutant of T4 lysozyme is presented. Previous CPMG-based relaxation dispersion studies of exchange in this protein have established that the molecule interconverts between a populated ground state and an excited state (3.4%) with an exchange rate constant of 1450 s(-1) at 25 degrees C. It is shown that for the majority of residues in this protein the offset dependence of the R(1rho) relaxation rates cannot be well fit using models which are only valid in the fast exchange regime. In contrast, a recently derived expression by Trott and Palmer (J. Magn. Reson., 154, 157-160, 2002) which is valid over a wider window of exchange than other relations, is shown to fit the data well. Values of (signed) chemical shift differences between exchanging sites have been extracted and are in reasonable agreement with shift differences measured using CPMG methods. A set of simulations is presented which help establish the exchange regimes that are best suited to analysis by off-resonance R(1rho) techniques.

Magnetic Resonance Spectroscopy↗

PubMed2003

Optimizing resolution in multidimensional NMR by three-way decomposition.

Resolution depends on the number of points sampled in a FID; in indirectly detected dimensions it is an important determinant of the total experiment time. Based on the high redundancy present in NMR data, we propose the following timesaving scheme for three-dimensional spectra. An extensive grid of discrete t1- and t2-values is used, which increases resolution while preserving the spectral width. Total experiment time is reduced by avoiding the recording of t3-FIDs for selected pairs of t1 and t2; typically the recording is omitted for about 75% of the (t1,t2) combinations. These data sets are referred to as sparse, and post-experimental processing making optimal use of spectral redundancy provides the missing, non-recorded data. We have previously shown that three-way decomposition (TWD) within the MUNIN approach provides a practical way to process dense NMR data sets. Here, a novel TWD algorithm [Ibraghimov, (2002) Numer. Linear Algebra Appl. 9, 551-565] is used to complement a sparsely recorded time-domain data set by providing the missing FIDs for all (t1,t2) combinations omitted in the experiment. A necessary condition is that for each t1-value at least a few FIDs are recorded, and similar for each t2-value. The method is demonstrated on non-uniformly sampled (15)N-NOESY-HSQC data sets recorded for the 14 kD protein azurin. The spectra obtained by TWD, reconstruction and ordinary transform to frequency-domain are, in spite of the large number of signals and the high dynamic range typical for NOESYs, highly similar to a corresponding reference spectrum, for which all (t1,t2) combinations were recorded.

Magnetic Resonance Spectroscopy↗

PubMed2003

NMR detection of multiple transitions to low-populated states in azurin.

Transitions to conformational states with very low populations were detected for the reduced blue copper protein azurin from Pseudomonas aeruginosa by applying constant relaxation time CPMG measurements to the backbone (15)N nuclei at three magnetic fields (11.7, 14.1, and 18.8 T) and three temperatures (25.7, 35.4, and 44.8 degrees C). Two exchange processes with different rate constants could be discriminated despite populations of the excited states below 1% and spatial neighborhood of the two processes. The group of (15)N nuclei involved in the faster process exhibits at 44.8 degrees C a forward rate constant of 11.7+/-2.4 s(-1) and a population of the exited state of 0.39+/-0.07%. They surround the aromatic ring of histidine 35 whose protonation state is coupled to the flipping of a neighboring peptide plane. For the slower process, the forward rate constant and population of the exited state at 44.8 degrees C are 4.1+/-0.1 s(-1) and 0.45+/-0.02%, respectively. The residues involved cluster nearby the copper ion, which is separated from the protonation site of histidine 35 by about 8 A, indicating conformational rearrangements involving the copper coordinating loops. The dependence of the equilibrium constant on the temperature is consistent with an enthalpy-dominated transition around the copper, but an entropy-controlled transition near histidine 35. The detection by nuclear magnetic resonance of millisecond to second conformational transitions near the copper ion suggests a low energy-cost rearrangement of the copper-binding site that may be necessary for efficient electron transfer.

Azurin↗

PubMed2002

Automated analysis of large sets of heteronuclear correlation spectra in NMR-based drug discovery.

Drug discovery procedures based on NMR typically require the analysis of thousands of NMR spectra. For example, in "SAR by NMR", two-dimensional NMR spectra are recorded for a target protein mixed with ligand candidates from a comprehensive library of small molecules and are compared to the corresponding spectrum for the protein alone. We present an automated procedure for the comparative analysis of large sets of heteronuclear single quantum coherence spectra, which is based on three-way decomposition and implemented as the software package MUNIN. In a single step, spectra with differences in the peak positions (indicating ligand binding) and the affected peaks are identified. By omission of peak picking, ad hoc scoring of the quality of doubtful peaks is avoided. The procedure has been tested on the bacterial ribonuclease barnase, with a protein concentration of only 50 microM, using several small molecules including the substrate analogue 3'-GMP. Sets of 51 spectra were processed simultaneously, and it is concluded that spectra with binding ligands can be unambiguously identified from much larger sets of spectra.

Bacterial Proteins↗

PubMed2002

Dynamics-modulated biological activity of transforming growth factor beta3.

Transforming growth factor beta3 (TGF-beta3) is an important mediator of growth, maintenance, and repair processes in human cells. Internal dynamic properties have been derived from (15)N NMR relaxation data and mapped onto the spatial structure of TGF-beta3. The pattern of internal dynamics in the structure identifies potential "hot spots" of binding free energy and reveals the importance of conformational entropy in the interaction of TGF-beta3 with the receptors. The observed internal dynamics set TGF-beta3 apart from other TGF-beta isoforms, with which it shares the same fold. These findings may explain functional differences among the various TGF-beta isoforms and thus prove essential in the search for related therapeutic agents.

Amino Acid Sequence↗

PubMed2002

Essential domain motions in barnase revealed by MD simulations.

The wealth of data accumulated on the bacterial ribonuclease barnase is complemented by molecular dynamics trajectories starting from four different experimental structures and covering a total of >10 ns. Using principal component analysis, the simulations are interpreted in view of dynamic domains and hinges promoting relative motions of these domains. Two domains with residues 7-22 and 52-108 for the first domain and residues 25-51 for the second domain were consistently observed. Hinge regions consist primarily of Tyr24, Ser50, Ile51, and Gly52. Earlier mutation studies have demonstrated that the residues of the hinge regions play essential roles for the stability and activity of barnase. The domain motions are correlated to inter-domain interactions involving functionally important active site residues, such as Lys27 and Glu73. A model is presented that combines the observation of dynamic domains and their motions with the extensive mutation data from the literature. Enthalpic energy contributions originating from specific inter-domain interactions as well as entropic energy contributions due to the domain motions are discussed in the frame of this model and compared with destabilization energies measured for corresponding mutants.

Bacterial Proteins↗

PubMed2002

Three-way decomposition of a complete 3D 15N-NOESY-HSQC.

Three-way decomposition is applied for the structural analysis of a complete three-dimensional (15)N-NOESY-HSQC of the 128 residues long protein azurin. The procedure presented includes decomposition using the software MUNIN, providing an initial characterization of the complete spectrum by 355 components. This is followed by post-processing yielding a final list of 149 components, 123 of which characterize 1859 NOE peaks from backbone N-H groups. Components from three-way decomposition are defined as direct products of one-dimensional shapes along the three dimensions. Thus, a complete set of distance constraints from this spectrum is obtained by one-dimensional peak picking of the shapes along the NOE dimension. Correctness and completeness of this set of NOEs are tested for all backbone amide groups against both an independent peak picking algorithm and the three-dimensional crystal structure of azurin, and a coincidence of about 95% is observed. Automated 'demixing' of components that are 'mixed' in a complex manner due to overlap of the HN and/or (15)N frequencies is illustrated.

Azurin↗