Related ArticlesTOUCHSTONEX: 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 represents C(alpha), C(beta), and the sidechain centers of mass. The force field consists of knowledge-based terms to produce protein-like behavior, including various short-range interactions, hydrogen bonding, and one-body, pairwise, and multibody long-range interactions. Contact restraints were incorporated into the force field as an NOE-specific pairwise potential. We evaluated the algorithm using a set of 125 proteins of various secondary structure types and lengths up to 174 residues. Using N/8 simulated, long-range sidechain contact restraints, where N is the number of residues, 108 proteins were folded to a C(alpha)-root-mean-square deviation (RMSD) from native below 6.5 A. The average RMSD of the lowest RMSD structures for all 125 proteins (folded and unfolded) was 4.4 A. The algorithm was also applied to limited experimental NOE data generated for three proteins. Using very few experimental sidechain contact restraints, and a small number of sidechain-main chain and main chain-main chain contact restraints, we folded all three proteins to low-to-medium resolution structures. The algorithm can be applied to the NMR structure determination process or other experimental methods that can provide tertiary restraint information, especially in the early stage of structure determination, when only limited data are available.
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 (15)N R(2)/R(1) Relaxation Restraints on Molecular Size, Shape, and Bond Vector Orientation for NMR Protein Structure Determination with Sparse Distance Restraints.
Impact of (15)N R(2)/R(1) Relaxation Restraints on Molecular Size, Shape, and Bond Vector Orientation for NMR Protein Structure Determination with Sparse Distance Restraints.
Impact of (15)N R(2)/R(1) Relaxation Restraints on Molecular Size, Shape, and Bond Vector Orientation for NMR Protein Structure Determination with Sparse Distance Restraints.
J Am Chem Soc. 2011 Apr 4;
Authors: Ryabov Y, Schwieters CD, Clore GM
(15)N R(2)/R(1) relaxation data contain information on molecular shape and size as well as on bond vector orientations relative to...
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04-06-2011 10:54 AM
Toward a Structure Determination Method for Biomineral-Associated Protein Using Combined Solid- State NMR and Computational Structure Prediction.
Toward a Structure Determination Method for Biomineral-Associated Protein Using Combined Solid- State NMR and Computational Structure Prediction.
Related Articles Toward a Structure Determination Method for Biomineral-Associated Protein Using Combined Solid- State NMR and Computational Structure Prediction.
Structure. 2010 Dec 8;18(12):1678-1687
Authors: Masica DL, Ash JT, Ndao M, Drobny GP, Gray JJ
Protein-biomineral interactions are paramount to materials production in biology, including the mineral phase of hard tissue. Unfortunately, the...
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12-08-2010 06:21 PM
[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] Structure prediction of protein complexes by an NMR-based protein docking algorithm.
Structure prediction of protein complexes by an NMR-based protein docking algorithm.
Related Articles Structure prediction of protein complexes by an NMR-based protein docking algorithm.
J Biomol NMR. 2001 May;20(1):15-21
Authors: Kohlbache O, Burchardt A, Moll A, Hildebrandt A, Bayer P, Lenhof HP
Protein docking algorithms can be used to study the driving forces and reaction mechanisms of docking processes. They are also able to speed up the lengthy process of experimental structure elucidation of protein complexes by proposing potential...
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11-19-2010 08:32 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
Protein secondary structure prediction using NMR chemical shift data.
Protein secondary structure prediction using NMR chemical shift data.
Related Articles Protein secondary structure prediction using NMR chemical shift data.
J Bioinform Comput Biol. 2010 Oct;8(5):867-84
Authors: Zhao Y, Alipanahi B, Li SC, Li M
Accurate determination of protein secondary structure from the chemical shift information is a key step for NMR tertiary structure determination. Relatively few work has been done on this subject. There needs to be a systematic investigation of algorithms that are (a) robust for large datasets; (b)...
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10-29-2010 07:05 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...
TOUCHSTONEX: protein structure prediction with sparse NMR data.
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