Protein structure modeling using sparse NMR data [Biophysics and Computational Biology]
Protein structure modeling using sparse NMR data
Thompson, J. M., Sgourakis, N. G., Liu, G., Rossi, P., Tang, Y., Mills, J. L., Szyperski, T., Montelione, G. T., Baker, D....
Date: 2012-06-19
While information from homologous structures plays a central role in X-ray structure determination by molecular replacement, such information is rarely used in NMR structure determination because it can be incorrect, both locally and globally, when evolutionary relationships are inferred incorrectly or there has been considerable evolutionary structural divergence. Here we describe a method that...
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06-20-2012 02:28 AM
Al NMR: a novel NMR data processing program optimized for sparse sampling
Al NMR: a novel NMR data processing program optimized for sparse sampling
Abstract Sparse sampling in biomolecular multidimensional NMR offers increased acquisition speed and resolution and, if appropriate conditions are met, an increase in sensitivity. Sparse sampling of indirectly detected time domains combined with the direct truly multidimensional Fourier transform has elicited particular attention because of the ability to generate a final spectrum amenable to traditional analysis techniques. A number of sparse sampling schemes have been described including radial sampling, random...
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11-17-2011 01:47 AM
Impact of 15N R2/R1 Relaxation Restraints on Molecular Size, Shape, and Bond Vector Orientation for NMR Protein Structure Determination with Sparse Distance Restraints
Impact of 15N R2/R1 Relaxation Restraints on Molecular Size, Shape, and Bond Vector Orientation for NMR Protein Structure Determination with Sparse Distance Restraints
Yaroslav Ryabov, Charles D. Schwieters and G. Marius Clore
http://pubs.acs.org/appl/literatum/publisher/achs/journals/content/jacsat/0/jacsat.ahead-of-print/ja201020c/aop/images/medium/ja-2011-01020c_0002.gif
Journal of the American Chemical Society
DOI: 10.1021/ja201020c
http://feeds.feedburner.com/~ff/acs/jacsat?d=yIl2AUoC8zA
http://feeds.feedburner.com/~r/acs/jacsat/~4/3J1IyCLkQMQ
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04-05-2011 10:37 AM
[NMR paper] Application of sparse NMR restraints to large-scale protein structure prediction.
Application of sparse NMR restraints to large-scale protein structure prediction.
Related Articles Application of sparse NMR restraints to large-scale protein structure prediction.
Biophys J. 2004 Aug;87(2):1241-8
Authors: Li W, Zhang Y, Skolnick J
The protein structure prediction algorithm TOUCHSTONEX that uses sparse distance restraints derived from NMR nuclear Overhauser enhancement (NOE) data to predict protein structures at low-to-medium resolution was evaluated as follows: First, a representative benchmark set of the Protein Data Bank...
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11-24-2010 10:01 PM
[NMR paper] TOUCHSTONEX: protein structure prediction with sparse NMR data.
TOUCHSTONEX: protein structure prediction with sparse NMR data.
Related Articles TOUCHSTONEX: protein structure prediction with sparse NMR data.
Proteins. 2003 Nov 1;53(2):290-306
Authors: Li W, Zhang Y, Kihara D, Huang YJ, Zheng D, Montelione GT, Kolinski A, Skolnick J
TOUCHSTONEX, a new method for folding proteins that uses a small number of long-range contact restraints derived from NMR experimental NOE (nuclear Overhauser enhancement) data, is described. The method employs a new lattice-based, reduced model of proteins that explicitly...
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11-24-2010 09:16 PM
[NMR paper] De novo protein structure determination using sparse NMR data.
De novo protein structure determination using sparse NMR data.
Related Articles De novo protein structure determination using sparse NMR data.
J Biomol NMR. 2000 Dec;18(4):311-8
Authors: Bowers PM, Strauss CE, Baker D
We describe a method for generating moderate to high-resolution protein structures using limited NMR data combined with the ab initio protein structure prediction method Rosetta. Peptide fragments are selected from proteins of known structure based on sequence similarity and consistency with chemical shift and NOE data. Models...
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11-19-2010 08:29 PM
[NMR paper] A branch and bound algorithm for protein structure refinement from sparse NMR data se
A branch and bound algorithm for protein structure refinement from sparse NMR data sets.
http://www.ncbi.nlm.nih.gov/corehtml/query/egifs/http:--linkinghub.elsevier.com-ihub-images-PubMedLink.gif Related Articles A branch and bound algorithm for protein structure refinement from sparse NMR data sets.
J Mol Biol. 1999 Jan 29;285(4):1691-710
Authors: Standley DM, Eyrich VA, Felts AK, Friesner RA, McDermott AE
We describe new methods for predicting protein tertiary structures to low resolution given the specification of secondary structure and a...