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Brian E Coggins

Publications and source records attributed to Brian E Coggins.

11 recordsLinked to original sources
PubMed2006

Sampling of the NMR time domain along concentric rings.

We present a novel approach to sampling the NMR time domain, whereby the sampling points are aligned on concentric rings, which we term concentric ring sampling (CRS). Radial sampling constitutes a special case of CRS where each ring has the same number of points and the same relative orientation. We derive theoretically that the most efficient CRS approach is to place progressively more points on rings of larger radius, with the number of points growing linearly with the radius, a method that we call linearly increasing CRS (LCRS). For cases of significant undersampling to reduce measurement time, a randomized LCRS (RLCRS) is also described. A theoretical treatment of these approaches is provided, including an assessment of artifacts and sensitivity. The analytical treatment of sensitivity also addresses the sensitivity of radially sampled data processed by Fourier transform. Optimized CRS approaches are found to produce artifact-free spectra of the same resolution as Cartesian sampling, for the same measurement time. Additionally, optimized approaches consistently yield fewer and smaller artifacts than radial sampling, and have a sensitivity equal to Cartesian and better than radial sampling. We demonstrate the method using numerical simulations, as well as a 3D HNCO experiment on protein G B1 domain.

Algorithms↗
PubMed2006

Polar Fourier transforms of radially sampled NMR data.

Radial sampling of the NMR time domain has recently been introduced to speed up data collection significantly. Here, we show that radially sampled data can be processed directly using Fourier transforms in polar coordinates. We present a comprehensive theoretical analysis of the discrete polar Fourier transform, and derive the consequences of its application to radially sampled data using linear response theory. With adequate sampling, the resulting spectrum using a polar Fourier transform is indistinguishable from conventionally processed spectra with Cartesian sampling. In the case of undersampling in azimuth--the condition that provides significant savings in measurement time-the correct spectrum is still produced, but with limited distortion of the baseline away from the peaks, taking the form of a summation of high-order Bessel functions. Finally, we describe an intrinsic connection between the polar Fourier transform and the filtered backprojection method that has recently been introduced to process projection-reconstruction NOESY data. Direct polar Fourier transformation holds great potential for producing quantitatively accurate spectra from radially sampled NMR data.

Algorithms↗
PubMed2006

PR-CALC: a program for the reconstruction of NMR spectra from projections.

Projection-reconstruction NMR (PR-NMR) has attracted growing attention as a method for collecting multidimensional NMR data rapidly. The PR-NMR procedure involves measuring lower-dimensional projections of a higher-dimensional spectrum, which are then used for the mathematical reconstruction of the full spectrum. We describe here the program PR-CALC, for the reconstruction of NMR spectra from projection data. This program implements a number of reconstruction algorithms, highly optimized to achieve maximal performance, and manages the reconstruction process automatically, producing either full spectra or subsets, such as regions or slices, as requested. The ability to obtain subsets allows large spectra to be analyzed by reconstructing and examining only those subsets containing peaks, offering considerable savings in processing time and storage space. PR-CALC is straightforward to use, and integrates directly into the conventional pipeline for data processing and analysis. It was written in standard C+ + and should run on any platform. The organization is flexible, and permits easy extension of capabilities, as well as reuse in new software. PR-CALC should facilitate the widespread utilization of PR-NMR in biomedical research.

Algorithms↗
PubMed2005

Filtered backprojection for the reconstruction of a high-resolution (4,2)D CH3-NH NOESY spectrum on a 29 kDa protein.

Projection-reconstruction (PR) NMR enables rapid collection of multidimensional NMR data. NOESY represents a particularly difficult challenge for currently existing reconstruction algorithms, as it requires the quantitative reconstruction of an unknown number of peaks, at full sensitivity. We have demonstrated the successful application of PR-NMR to NOESY by determining the 4D methyl/amide NOESY spectrum of a 29 kDa protein, human carbonic anhydrase II, from 2D projections, using filtered backprojection for reconstruction. Compared with a 3D control spectrum, all expected peaks were faithfully reconstructed, with correct volumes and with no artifacts. Filtered backprojection thus provides a way to obtain high-resolution 4D NOESY data in the time required for conventional 3D data collection.

Magnetic Resonance Spectroscopy↗
PubMed2005

(4,2)D Projection--reconstruction experiments for protein backbone assignment: application to human carbonic anhydrase II and calbindin D(28K).

Projection-reconstruction NMR experiments have been shown to significantly reduce the acquisition time required to obtain protein backbone assignment data. To date, this concept has only been applied to smaller (15)N/(13)C-labeled proteins. Here, we show that projection-reconstruction NMR techniques can be extended to larger protonated and perdeuterated proteins. We present a suite of (4,2)D triple-resonance experiments for protein backbone assignment and a Hybrid Backprojection/Lower-Value algorithm for reconstructing data with relatively weak signal-to-noise ratios. In addition, we propose a sampling theorem and discuss its implication on the choice of projection angles. We demonstrate the efficacy of this approach using the 29 kDa protein, human carbonic anhydrase II and the 30 kDa protein, calbindin D(28K).

Calbindins↗
PubMed2005

Refined solution structure of the LpxC-TU-514 complex and pKa analysis of an active site histidine: insights into the mechanism and inhibitor design.

Lipopolysaccharide, the major constituent of the outer monolayer of the outer membrane of Gram-negative bacteria, is anchored into the membrane through the hydrophobic moiety lipid A, a hexaacylated disaccharide. The zinc-dependent metalloamidase UDP-3-O-acyl-N-acetylglucosamine deacetylase (LpxC) catalyzes the second and committed step in the biosynthesis of lipid A. LpxC shows no homology to mammalian metalloamidases and is essential for cell viability, making it an important target for the development of novel antibacterial compounds. Recent NMR and X-ray studies of the LpxC from Aquifex aeolicus have provided the first structural information about this family of proteins. Insight into the catalytic mechanism and the design of effective inhibitors could be facilitated by more detailed structural and biochemical studies that define substrate-protein interactions and the roles of specific residues in the active site. Here, we report the synthesis of the (13)C-labeled substrate-analogue inhibitor TU-514, and the subsequent refinement of the solution structure of the A. aeolicus LpxC-TU-514 complex using residual dipolar couplings. We also reevaluate the catalytic role of an active site histidine, H253, on the basis of both its pK(a) as determined by NMR titration and pH-dependent kinetic analyses. These results provide a structural basis for the design of more potent LpxC inhibitors than those that are currently available.

Amidohydrolases↗
PubMed2005

Rapid assignment of protein side chain resonances using projection-reconstruction of (4,3)D HC(CCO)NH and intra-HC(C)NH experiments.

The reconstruction of higher-dimensional NMR spectra from projections can provide significant savings in instrument time. Here, we demonstrate its application to the (4,3)D HC(CCO)NH and intra-HC(C)NH experiments. The latter experiment contains a novel intra-residue filter element, which selectively correlates the side chain resonances with the corresponding intra-residue amide resonances. Compared to the conventional HC(C)NH experiment, the intra-HC(C)NH experiment reduces the spectral complexity and thus the minimum number of projections required for artifact-free reconstruction by half. The use of the projection-reconstruction technique allows rapid data collection and unambiguous assignment of aliphatic side chain nuclei at high resolution.

Algorithms↗
PubMed2004

Generalized reconstruction of n-D NMR spectra from multiple projections: application to the 5-D HACACONH spectrum of protein G B1 domain.

Reconstructing multidimensional NMR spectra from 2-D projections significantly reduces the time needed for data collection over conventional methodology. Here, we provide a generalization of the projection-reconstruction process to spectra of arbitrary dimensionality, using a concept of coordinate rotation to produce explicit expressions for reconstruction. These expressions allow one to reconstruct subsets of the higher dimensionality space without producing the full spectrum, permitting convenient analysis of the data. We demonstrate the effectiveness of these procedures in the reconstruction of the 5-D HACACONH spectrum of protein G B1 domain from 12 2-D projections collected in five experiments. We further demonstrate that the base spectra of GFT-NMR are equivalent to projections of the 5-D spectrum at fixed angles.

Nerve Tissue Proteins↗
PubMed2003

PACES: Protein sequential assignment by computer-assisted exhaustive search.

A crucial step in determining solution structures of proteins using nuclear magnetic resonance (NMR) spectroscopy is the process of sequential assignment, which correlates backbone resonances to corresponding residues in the primary sequence of a protein, today, typically using data from triple-resonance NMR experiments. Although the development of automated approaches for sequential assignment has greatly facilitated this process, the performance of these programs is usually less satisfactory for large proteins, especially in the cases of missing connectivity or severe chemical shift degeneracy. Here, we report the development of a novel computer-assisted method for sequential assignment, using an algorithm that conducts an exhaustive search of all spin systems both for establishing sequential connectivities and then for assignment. By running the program iteratively with user intervention after each cycle, ambiguities in the assignments can be eliminated efficiently and backbone resonances can be assigned rapidly. The efficiency and robustness of this approach have been tested with 27 proteins of sizes varying from 76 amino acids to 723 amino acids, and with data of varying qualities, using experimental data for three proteins, and published assignments modified with simulated noise for the other 24. The complexity of sequential assignment with regard to the size of the protein, the completeness of NMR data sets, and the uncertainty in resonance positions has been examined.

Algorithms↗
PubMed2003

Structure of the LpxC deacetylase with a bound substrate-analog inhibitor.

The zinc-dependent UDP-3-O-acyl-N-acetylglucosamine deacetylase (LpxC) catalyzes the first committed step in the biosynthesis of lipid A, the hydrophobic anchor of lipopolysaccharide (LPS) that constitutes the outermost monolayer of Gram-negative bacteria. As LpxC is crucial for the survival of Gram-negative organisms and has no sequence homology to known mammalian deacetylases or amidases, it is an excellent target for the design of new antibiotics. The solution structure of LpxC from Aquifex aeolicus in complex with a substrate-analog inhibitor, TU-514, reveals a novel alpha/beta fold, a unique zinc-binding motif and a hydrophobic passage that captures the acyl chain of the inhibitor. On the basis of biochemical and structural studies, we propose a catalytic mechanism for LpxC, suggest a model for substrate binding and provide evidence that mobility and dynamics in structural motifs close to the active site have key roles in the capture of the substrate.

Amidohydrolases↗