Structure-based prediction of methyl chemical shifts in proteins
Structure-based prediction of methyl chemical shifts in proteins
Abstract Protein methyl groups have recently been the subject of much attention in NMR spectroscopy because of the opportunities that they provide to obtain information about the structure and dynamics of proteins and protein complexes. With the advent of selective labeling schemes, methyl groups are particularly interesting in the context of chemical shift based protein structure determination, an approach that to date has exploited primarily the mapping between protein structures and backbone chemical shifts. In order to...
Chemical shift prediction for protein structure calculation and quality assessment using an optimally parameterized force field
Chemical shift prediction for protein structure calculation and quality assessment using an optimally parameterized force field
Publication year: 2011
Source: Progress in Nuclear Magnetic Resonance Spectroscopy, In Press, Accepted Manuscript, Available online 23 May 2011</br>
Jakob T., Nielsen , Hamid R., Eghbalnia , Niels Chr., Nielsen</br>
The exquisite sensitivity of chemical shifts as reporters of structural information, and the ability to measure them routinely and accurately, gives great import to formulations that elucidate the structure-chemical-shift relationship. Here we...
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05-24-2011 10:02 PM
Mapping allostery through the covariance analysis of NMR chemical shifts [Biophysics and Computational Biology]
Mapping allostery through the covariance analysis of NMR chemical shifts
Selvaratnam, R., Chowdhury, S., VanSchouwen, B., Melacini, G....
Date: 2011-04-12
Allostery is a fundamental mechanism of regulation in biology. The residues at the end points of long-range allosteric perturbations are commonly identified by the comparative analyses of structures and dynamics in apo and effector-bound states. However, the networks of interactions mediating the propagation of allosteric signals between the end points often remain elusive. Here we show that the covariance analysis of NMR chemical...
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04-13-2011 01:15 AM
4D prediction of protein 1H chemical shifts
4D prediction of protein 1H chemical shifts
Abstract A 4D approach for protein 1H chemical shift prediction was explored. The 4th dimension is the molecular flexibility, mapped using molecular dynamics simulations. The chemical shifts were predicted with a principal component model based on atom coordinates from a database of 40 protein structures. When compared to the corresponding non-dynamic (3D) model, the 4th dimension improved prediction by 6â??7%. The prediction method achieved RMS errors of 0.29 and 0.50 ppm for Hα and HN shifts, respectively. However, for individual proteins...
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01-09-2011 12:46 PM
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
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
Prediction of Xaa-Pro peptide bond conformation from sequence and chemical shifts
Abstract We present a program, named Promega, to predict the Xaa-Pro peptide bond conformation on the basis of backbone chemical shifts and the amino acid sequence. Using a chemical shift database of proteins of known structure together with the PDB-extracted amino acid preference of cis Xaa-Pro peptide bonds, a cis/trans probability score is calculated from the backbone and 13Cβ chemical shifts of the proline and its neighboring residues. For an arbitrary number of input chemical shifts, which may include Pro-13Cγ, Promega calculates the statistical probability that a Xaa-Pro peptide bond...
Computational prediction of three-dimensional protein structure from NMR chemical shifts - Kai Kohlhoff
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