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Dive into the research topics where Daniel S. Garrett is active.

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Featured researches published by Daniel S. Garrett.


Journal of Magnetic Resonance | 1991

A common sense approach to peak picking in two-, three-, and four-dimensional spectra using automatic computer analysis of contour diagrams☆

Daniel S. Garrett; Robert Powers; Angela M. Gronenborn; G. Marius Clore

The analysis of multidimensional NMR spectra has been a challenging problem since the earliest two-dimensional experiments were reported as stacked plots (I). The first step in analysis involves obtaining a list of chemical-shift coordinates for the cross peaks. Initially, simple programs were used to generate contour plots of twodimensional NMR data, which were analyzed manually. As the utility and versatility of multidimensional NMR spectroscopy grew, several automated methods of peak picking have been developed. This Communication describes a new peak-picking algorithm which is based on contour diagrams and designed for the automated interpretation of higher dimensional 3D and 4D spectra. The oldest and most robust method of analysis is the manual interpretation of 2D contour plots. The strength of manual peak picking results from the relative ease with which the human eye can discriminate real peaks from artifacts and noise. As the proteins studied have become larger, the number of spectra to be analyzed and the number of cross peaks within a spectrum have increased dramatically, with the result that significantly more time and energy are required for the tedious manual peakpicking step. Interactive graphics software, which dynamically maintains a list of peak positions, has to some extent helped with this time-consuming step, particularly with regard to bookkeeping. Although more time will be saved with the automation of peak picking, manual inspection of spectra with an interactive graphics program will always be necessary to verify and edit automated results. Approaches to automated peak picking can be divided into three types: (a) thresholdbased methods; (b) multiplet-symmetry-based methods; and (c) peak-shape-based methods. The simplest automated peak-picking algorithm is based primarily on the intensity of local extrema exceeding a threshold value (2). Uninteresting regions of the spectrum, such as tl noise ridges, are defined to avoid selecting peaks along these artifacts. Since some real peaks have very low intensities, the threshold must be set close to the noise level, which unfortunately results in a very large number of local extrema being picked due to the noise. Thus, by itself the threshold method fails by selecting too many or too few peaks, but is ideally suited as a filter for more sophisticated methods.


Journal of Molecular Biology | 1991

Secondary Structure of the Ribonuclease H Domain of the Human Immunodeficiency Virus Reverse Transcriptase in Solution using Three-Dimensional Double and Triple Resonance Heteronuclear Magnetic Resonance Spectroscopy

Robert Powers; G. Marius Clore; Ad Bax; Daniel S. Garrett; Stephen J. Stahl; Paul T. Wingfield; Angela M. Gronenborn

The solution structure of the ribonuclease H domain of HIV-1 reverse transcriptase has been investigated by three-dimensional double and triple resonance heteronuclear magnetic resonance spectroscopy. The domain studied has 138 residues and comprises residues 427 to 560 of the 66 kDa reverse transcriptase with an additional four residues at the N terminus. Initial studies on the wild-type protein were hindered by severe differential line broadening, presumably due to conformational averaging. Mutation of the single tryptophan residue located in a loop at position 113 (position 535 in the reverse transcriptase sequence) to an alanine resulted in much improved spectral properties with no apparent change in structure. 1H, 15N and 13C backbone resonances were assigned sequentially using a range of three-dimensional double and triple resonance heteronuclear experiments on samples of uniformly (greater than 95%) 15N and 15N/13C-labeled protein, and the secondary structure was elucidated from a qualitative analysis of data derived from three-dimensional 15N- and 13C-edited nuclear Overhauser enhancement spectra. The secondary structure comprises three alpha-helices and five strands arranged in a mixed parallel/antiparallel beta-sheet with a +1, +1, -3x, -1x topology. The C-terminal region from residue 114 onwards appears to be conformationally disordered in solution as evidenced by an almost complete absence of sequential and medium range nuclear Overhauser effects.


Science | 1994

High-resolution solution structure of the beta chemokine hMIP-1 beta by multidimensional NMR.

Pj Lodi; Daniel S. Garrett; J. Kuszewski; Monica Lik-Shing Tsang; James A. Weatherbee; Warren J. Leonard; Angela M. Gronenborn; G.M. Clore


Biochemistry | 1997

Identification by NMR of the binding surface for the histidine-containing phosphocarrier protein HPr on the N-terminal domain of enzyme I of the Escherichia coli phosphotransferase system.

Daniel S. Garrett; Yeong-Jae Seok; Alan Peterkofsky; Clore Gm; Angela M. Gronenborn


Nature Structural & Molecular Biology | 1999

Solution structure of the 40,000 Mr phosphoryl transfer complex between the N-terminal domain of enzyme I and HPr.

Daniel S. Garrett; Yeong-Jae Seok; Alan Peterkofsky; Angela M. Gronenborn; G.M. Clore


Nature Structural & Molecular Biology | 1997

Defining long range order in NMR structure determination from the dependence of heteronuclear relaxation times on rotational diffusion anisotropy.

Nico Tjandra; Daniel S. Garrett; Angela M. Gronenborn; Ad Bax; Clore Gm


Science | 1992

Three-dimensional solution structure of human interleukin-4 by multidimensional heteronuclear magnetic resonance spectroscopy.

Robert Powers; Daniel S. Garrett; Carl J. March; Eric A. Frieden; Angela M. Gronenborn; G. Marius Clore


Journal of Magnetic Resonance, Series B | 1993

Increased Resolution and Improved Spectral Quality in Four-Dimensional 13C/13C-Separated HMQC-NOESY-HMQC Spectra Using Pulsed Field Gradients

Geerten W. Vuister; G.M. Clore; Angela M. Gronenborn; Robert Powers; Daniel S. Garrett; Rolf Tschudin; Ad Bax


Biochemistry | 1997

Solution Structure of the 30 kDa N-Terminal Domain of Enzyme I of the Escherichia coli Phosphoenolpyruvate:Sugar Phosphotransferase System by Multidimensional NMR†

Daniel S. Garrett; Yeong-Jae Seok; D.I. Liao; Alan Peterkofsky; Angela M. Gronenborn; Clore Gm


Journal of Magnetic Resonance, Series B | 1994

The Impact of Direct Refinement against Three-Bond HN-CαH Coupling Constants on Protein Structure Determination by NMR

Daniel S. Garrett; John Kuszewski; T.J. Hancock; P.J. Lodi; Geerten W. Vuister; Angela M. Gronenborn; Clore Gm

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G. Marius Clore

National Institutes of Health

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Robert Powers

University of Nebraska–Lincoln

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Alan Peterkofsky

National Institutes of Health

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Yeong-Jae Seok

Seoul National University

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Ad Bax

National Institutes of Health

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G.M. Clore

National Institutes of Health

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Guangshun Wang

National Institutes of Health

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