Protein structure calculation with data imputation: the use of substitute restraints
Protein structure calculation with data imputation: the use of substitute restraints
Abstract The amount of experimental restraints e.g., NOEs is often too small for calculating high quality three-dimensional structures by restrained molecular dynamics. Considering this as a typical missing value problem we propose here a model based data imputation technique that should lead to an improved estimation of the correct structure. The novel automated method implemented in AUREMOL makes a more efficient use of the experimental information to obtain NMR structures with higher accuracy. It...
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[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] Protein structure calculation from NMR data.
Protein structure calculation from NMR data.
Related Articles Protein structure calculation from NMR data.
Methods Mol Biol. 2002;173:267-83
Authors: Mal TK, Bagby S, Ikura M
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[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] Derivation of locally accurate spatial protein structure from NMR data.
Derivation of locally accurate spatial protein structure from NMR data.
http://www.ncbi.nlm.nih.gov/corehtml/query/egifs/http:--linkinghub.elsevier.com-ihub-images-PubMedLink.gif Related Articles Derivation of locally accurate spatial protein structure from NMR data.
Prog Biophys Mol Biol. 1993;59(3):285-339
Authors: Sherman SA, Johnson ME
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[NMR paper] On deriving spatial protein structure from NMR or X-ray diffraction data.
On deriving spatial protein structure from NMR or X-ray diffraction data.
Related Articles On deriving spatial protein structure from NMR or X-ray diffraction data.
Ciba Found Symp. 1991;161:150-9; discussion 159-66
Authors: van Gunsteren WF, Gros P, Torda AE, Berendsen HJ, van Schaik RC
During the last decade it has become possible to derive the spatial structure of small proteins in solution using multidimensional NMR spectroscopy measurements and interpreting the data in terms of a chemical atomic model. The NMR experiments generate a set...
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[NMR paper] Improved efficiency of protein structure calculations from NMR data using the program
Improved efficiency of protein structure calculations from NMR data using the program DIANA with redundant dihedral angle constraints.
Related Articles Improved efficiency of protein structure calculations from NMR data using the program DIANA with redundant dihedral angle constraints.
J Biomol NMR. 1991 Nov;1(4):447-56
Authors: Güntert P, Wüthrich K
A new strategy for NMR structure calculations of proteins with the variable target function method (Braun, W. and Go, N. (1985) J. Mol. Biol., 186, 611) is described, which makes use of...
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Structure-oriented methods for protein NMR data analysis
Structure-oriented methods for protein NMR data analysis
Publication year: 2010
Source: Progress in Nuclear Magnetic Resonance Spectroscopy, In Press, Accepted Manuscript, Available online 3 March 2010</br>
Guillermo A., Bermejo , Miguel, Llinás</br>
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