-
[show abstract]
[hide abstract]
ABSTRACT: Comprehensive metabolite identification and quantification of complex biological mixtures are central aspects of metabolomics. NMR shows excellent promise for these tasks. An automated fingerprinting strategy is presented, termed COLMAR query, which screens NMR chemical shift lists or raw 1D NMR cross sections taken from covariance total correlation spectroscopy (TOCSY) spectra or other multidimensional NMR spectra against an NMR spectral database. Cross peaks are selected using local clustering to avoid ambiguities between chemical shifts and scalar J-coupling effects. With the use of three different algorithms, the corresponding chemical shift list is then screened against chemical shift lists extracted from 1D spectra of a NMR database. The resulting query scores produced by forward assignment, reverse assignment, and bipartite weighted-matching algorithms are combined into a consensus score, which provides a robust means for identifying the correct compound. The approach is demonstrated for a metabolite model mixture that is screened against the metabolomics BioMagResDatabank (BMRB). This NMR-based compound identification approach has been implemented in a public Web server that allows the efficient analysis of a wide range of metabolite mixtures.
Analytical Chemistry 06/2008; 80(10):3606-11. · 5.86 Impact Factor
-
[show abstract]
[hide abstract]
ABSTRACT: The Na(+)/Ca(2+) exchanger is the major exporter of Ca(2+) across the cell membrane of cardiomyocytes. The activity of the exchanger is regulated by a large intracellular loop that contains two Ca(2+)-binding domains, calcium-binding domain (CBD) 1 and CBD2. CBD1 binds Ca(2+) with much higher affinity than CBD2 and is considered to be the primary Ca(2+) sensor. The effect of Ca(2+) on the structure and dynamics of CBD1 has been characterized by NMR spectroscopy using chemical shifts, residual dipolar couplings, and spin relaxation. Residual dipolar couplings are used in a new way for residue selection in the determination of the anisotropic rotational diffusion tensor from spin relaxation data. The results provide a highly consistent description across these complementary data sets and show that Ca(2+) binding is accompanied by a selective conformational change among the binding site residues. Residues that exhibit a significant conformational change are also sites of altered dynamics. In particular, Ca(2+) binding restricts the mobility of the major acidic segment and affects the dynamics of several nearby binding loops. These observations indicate that Ca(2+) elicits a local transition to a well-ordered coordination geometry in the CBD1-binding site.
Journal of Molecular Biology 04/2008; 377(3):945-55. · 4.00 Impact Factor
-
[show abstract]
[hide abstract]
ABSTRACT: A recent workshop titled "Quantitative Computational Biophysics" at Florida State University provided an overview of the state of the art in quantitative modeling of biomolecular systems. The presentations covered a wide range of interrelated topics, including the development and validation of force fields, the modeling of protein-protein interactions, the sampling of conformational space, and the assessment of equilibration and statistical errors. Substantial progress in all these areas was reported.
Journal of Computational Chemistry 04/2008; 29(4):668-72. · 4.58 Impact Factor
-
[show abstract]
[hide abstract]
ABSTRACT: A central problem in the emerging field of metabolomics is how to identify the compounds comprising a chemical mixture of biological origin. NMR spectroscopy can greatly assist in this identification process, by means of multi-dimensional correlation spectroscopy, particularly total correlation spectroscopy (TOCSY). This Communication demonstrates how non-negative matrix factorization (NMF) provides an efficient means of data reduction and clustering of TOCSY spectra for the identification of unique traces representing the NMR spectra of individual compounds. The method is applied to a metabolic mixture whose compounds could be unambiguously identified by peak matching of NMF components against the BMRB metabolomics database.
The Journal of Chemical Physics 03/2008; 128(5):052313. · 3.33 Impact Factor
-
[show abstract]
[hide abstract]
ABSTRACT: A 4-micros molecular dynamics simulation of the second beta-hairpin of the B1 domain of streptococcal protein G is used to characterize the free energy surface and to evaluate different configurational entropy estimators. From the equilibrium folding-unfolding trajectory, 200 000 conformers are clustered according to their root-mean-square deviation (RMSD). The height of the free energy barrier between pairs of clusters is found to be significantly correlated with their pairwise RMSD. Relative free energies and relative configurational entropies of the clusters are determined by explicit evaluation of the partition functions of the different clusters. These entropies are used to evaluate different entropy estimators for the largest 20 clusters as well as a subensemble comprising exclusively extended conformers. It is found that the quasi-harmonic entropy estimator operating in dihedral angle space performs better than the one using Cartesian coordinates. A recent generalization of the quasi-harmonic approach that computes Shannon entropies of probability distributions obtained by projecting the conformers along the eigenvectors of the covariance matrix performs similarly well. For the best entropy estimators, a linear correlation coefficient between 0.92 and 0.97 is found. Unexpectedly, when correlations between dihedral angles are neglected, the agreement with the reference entropies improved.
The Journal of Physical Chemistry B 01/2008; 111(49):13807-13. · 3.70 Impact Factor
-
Journal of the American Chemical Society 12/2007; 129(46):14146-7. · 9.91 Impact Factor
-
Journal of the American Chemical Society 12/2007; 129(46):14126-7. · 9.91 Impact Factor
-
[show abstract]
[hide abstract]
ABSTRACT: Elucidation of high-resolution protein structures by NMR spectroscopy requires a large number of distance constraints that are derived from nuclear Overhauser effects between protons (NOEs). Due to the high level of spectral overlap encountered in 2D NMR spectra of proteins, the measurement of high quality distance constraints requires higher dimensional NMR experiments. Although four-dimensional Fourier transform (FT) NMR experiments can provide the necessary kind of spectral information, the associated measurement times are often prohibitively long. Covariance NMR spectroscopy yields 2D spectra that exhibit along the indirect frequency dimension the same high resolution as along the direct dimension using minimal measurement time. The generalization of covariance NMR to 4D NMR spectroscopy presented here exploits the inherent symmetry of certain 4D NMR experiments and utilizes the trace metric between donor planes for the construction of a high-resolution spectral covariance matrix. The approach is demonstrated for a 4D (13)C-edited NOESY experiment of ubiquitin. The 4D covariance spectrum narrows the line-widths of peaks strongly broadened in the FT spectrum due to the necessarily short number of increments collected, and it resolves otherwise overlapped cross peaks allowing for an increase in the number of NOE assignments to be made from a given dataset. At the same time there is no significant decrease in the positive predictive value of observing a peak as compared to the corresponding 4D Fourier transform spectrum. These properties make the 4D covariance method a potentially valuable tool for the structure determination of larger proteins and for high-throughput applications in structural biology.
Journal of Biomolecular NMR 12/2007; 39(3):165-75. · 3.61 Impact Factor
-
[show abstract]
[hide abstract]
ABSTRACT: Residual water solvent signals in 2D NMR experiments adversely affect appearance and subsequent analysis of spectra. A method for water suppression that is based on indirect covariance processing is described. It produces a symmetric spectrum with a water signal that is substantially decreased or completely absent. The method, which can be combined with other water suppression schemes, is demonstrated for 2D TOCSY, NOESY, and ROESY spectra of the protein, ubiquitin in aqueous solution.
Magnetic Resonance in Chemistry 12/2007; 45(11):925-8. · 1.44 Impact Factor
-
[show abstract]
[hide abstract]
ABSTRACT: Elucidation of the composition of chemical-biological samples is a main focus of systems biology and metabolomics. Due to the inherent complexity of these mixtures, reliable, efficient, and potentially automatable methods are needed to identify the underlying metabolites and natural products. Because of its rich chemical information content, nuclear magnetic resonance (NMR) spectroscopy has a unique potential for this task. Here we present a generalization and application of a recently introduced NMR data collection, processing, and analysis strategy that circumvents the need for extensive purification and hyphenation prior to analysis. It uses covariance TOCSY NMR spectra measured on a 1-mm high-temperature cryogenic probe that are analyzed by a spectral trace clustering algorithm yielding 1D NMR spectra of the individual components for their unambiguous identification. The method is demonstrated on a metabolic model mixture and is then applied to the unpurified venom mixture of an individual walking stick insect that contains several slowly interconverting and closely related metabolites.
Analytical Chemistry 11/2007; 79(20):7748-52. · 5.86 Impact Factor
-
[show abstract]
[hide abstract]
ABSTRACT: The square root of a covariance spectrum, which offers high spectral resolution along both dimensions requiring only few t (1) increments, yields in good approximation the idealized 2D FT spectrum provided that the amount of magnetization exchanged between spins is relatively small. When this condition is violated, 2D FT and covariance peak volumes may differ. A regularization method is presented that produces a modified covariance spectrum with cross-peak volumes that closely match their 2D FT analogues. The method is demonstrated for TOCSY spectra with variable mixing times.
Journal of Biomolecular NMR 06/2007; 38(1):73-7. · 3.61 Impact Factor
-
Journal of the American Chemical Society 05/2007; 129(14):4158-9. · 9.91 Impact Factor
-
Angewandte Chemie International Edition 02/2007; 46(15):2639-42. · 13.45 Impact Factor
-
[show abstract]
[hide abstract]
ABSTRACT: A novel approach is described for the determination of reliable high-resolution homonuclear NMR covariance spectra from minimal datasets. It uses a sparse sampling scheme along the indirect dimension together with a comprehensive analysis of finite sampling effects that eliminates spurious correlations. The scheme, which is demonstrated for TOCSY and COSY, offers a substantial speed up over current methods, rendering it suitable for high-throughput screening applications.
Journal of the American Chemical Society 01/2007; 128(49):15564-5. · 9.91 Impact Factor
-
[show abstract]
[hide abstract]
ABSTRACT: Determination of protein structure classically results in a single average configuration that takes no account of conformational fluctuation. Dynamics are, however, inherently linked to structure and crucial to our understanding of biological function. In this study we have used analytical descriptions of dynamic averaging of residual dipolar couplings (RDCs) to simultaneously determine the backbone structure and dynamics of protein GB3. RDCs alone are used to determine an ultrahigh-resolution structure that compares very closely with a refined X-ray structure (rmsd of 0.34 A overall backbone residues). Dynamic amplitudes reporting on motions up to the millisecond time scale reproduce the main characteristics of dynamics previously determined in conjunction with the crystal structure. The use of RDCs alone allows a bias-free comparison with a purely static approach to structure determination. Extensive cross validation clearly demonstrates that the dynamic description is superior to the static approximation. The demonstration that this level of structural resolution and dynamic detail can be extracted from RDCs supports previous indications that these parameters contain extremely precise information about biomolecular conformational sampling.
Journal of the American Chemical Society 12/2006; 128(47):15100-1. · 9.91 Impact Factor
-
[show abstract]
[hide abstract]
ABSTRACT: Human transthyretin (TTR) is an amyloidogenic protein whose aggregation is associated with several types of amyloid diseases. The following mechanism of TTR amyloid formation has been proposed. TTR tetramer at first dissociates into native monomers, which is the rate-limiting step in fibril formation. The monomeric species then partially unfold to form amyloidogenic intermediates that subsequently undergo a downhill self-assembly process. The amyloid deposit can be facilitated by disease-associated point mutations. However, only subtle structural differences were observed between the crystal structures of the wild type and the disease-associated variants. To investigate how single-point mutations influence the effective energy landscapes of TTR monomers, molecular dynamics (MD) simulations were performed on wild-type TTR and two pathogenic variants. Principal coordinate analysis on MD-generated ensembles has revealed multiple unfolding pathways for each protein. Amyloidogenic intermediates with the dislocated C strand-loop-D strand motif were observed only on the unfolding pathways of V30M and L55P variants and not for wild-type TTR. Our study suggests that the sequence-dependent unfolding pathway plays a crucial role in the amyloidogenicity of TTR. Analyses of side chain concerted motions indicate that pathogenic mutations on "edge strands" disrupt the delicate side chain correlated motions, which in turn may alter the sequence of unfolding events.
Biochemistry 11/2006; 45(39):11992-2002. · 3.42 Impact Factor
-
[show abstract]
[hide abstract]
ABSTRACT: A new model for the prediction of protein backbone motions is presented. The model, termed reorientational contact-weighted elastic network model, is based on a multidimensional reorientational harmonic potential of the backbone amide bond vector orientations and it is applied to the interpretation of dynamics parameters obtained from NMR relaxation data. The individual energy terms are weighted as a function of the intervector distances and by the contact strengths of each bond vector with respect to its local environment. Correlated reorientational motional properties of the bond vectors are obtained by means of normal mode analysis. Application to a set of proteins with known three-dimensional structures yields good to excellent agreement between predicted and experimental NMR order parameters presenting an improvement over the local contact model. The reorientational eigenmodes of the reorientational contact-weighted elastic network model method provide direct information on the collective nature of protein backbone motions. The dominant eigenmodes have a notably low collectivity, which is consistent with the behavior found for reorientational eigenmodes from molecular dynamics simulations.
Biophysical Journal 06/2006; 90(10):3382-8. · 3.65 Impact Factor
-
[show abstract]
[hide abstract]
ABSTRACT: Despite their importance for biological activity, slower molecular motions beyond the nanosecond range remain poorly understood. We have assembled an unprecedented set of experimental NMR data, comprising up to 27 residual dipolar couplings per amino acid, to define the nature and amplitude of backbone motion in protein G using the Gaussian axial fluctuation model in three dimensions. Slower motions occur in the loops, and in the beta-sheet, and are absent in other regions of the molecule, including the alpha-helix. In the beta-sheet an alternating pattern of dynamics along the peptide sequence is found to form a long-range network of slow motion in the form of a standing wave extending across the beta-sheet, resulting in maximal conformational sampling at the interaction site. The alternating nodes along the sequence match the alternation of strongly hydrophobic side chains buried in the protein core. Confirmation of the motion is provided through extensive cross-validation and by independent hydrogen-bond scalar coupling analysis that shows this motion to be correlated. These observations strongly suggest that dynamical information can be transmitted across hydrogen bonds and have important implications for understanding collective motions and long-range information transfer in proteins.
Proceedings of the National Academy of Sciences 10/2005; 102(39):13885-90. · 9.68 Impact Factor
-
[show abstract]
[hide abstract]
ABSTRACT: A novel processing scheme is presented that converts a two-dimensional double-quantum NMR spectrum into a single-quantum correlation spectrum. The covariance-like spectrum is computed from the 2D Fourier transform spectrum by emphasizing contributions that fulfill the double-quantum condition resulting in a symmetric spectrum that is easier to analyze. The method is demonstrated for the 2D INADEQUATE experiment.
Journal of Magnetic Resonance 07/2005; 174(2):219-22. · 2.14 Impact Factor
-
[show abstract]
[hide abstract]
ABSTRACT: Simple pulse schemes are presented for the measurement of methyl (13)C and (1)H CSA values from (1)H-(13)C dipole/(13)C CSA and (1)H-(13)C dipole/(1)H CSA cross-correlated relaxation. The methodology is applied to protein L and malate synthase G. Average (13)C CSA values are considerably smaller for Ile than Leu/Val (17 vs 25 ppm) and are in good agreement with previous solid state NMR studies of powders of amino acids and dipeptides and in reasonable agreement with quantum-chemical DFT calculations of methyl carbon CSA values in peptide fragments. Small averaged (1)H CSA values on the order of 1 ppm are measured, consistent with a solid state NMR determination of the methyl group (1)H CSA in dimethylmalonic acid.
Journal of Biomolecular NMR 01/2005; 30(4):397-406. · 3.61 Impact Factor
