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 the RMS errors were 0.17â??0.34 and 0.34â??0.65 ppm for the Hα and HN shifts, respectively. X-ray structures gave better predictions than the corresponding NMR structures, indicating that chemical shifts contain invaluable information about local structures. The 1H chemical shift prediction tool 4DSPOT is available from http://www.uku.fi/kemia/4dspot.
Content Type Journal Article
Pages 413-426
DOI 10.1007/s10858-009-9384-1
Authors
Juuso Lehtivarjo, University of Kuopio Department of Biosciences, Laboratory of Chemistry P.O.Box 1627 70211 Kuopio Finland
Tommi Hassinen, University of Kuopio Department of Biosciences, Laboratory of Chemistry P.O.Box 1627 70211 Kuopio Finland
Samuli-Petrus Korhonen, Perch Solutions Ltd. Hyrräkatu 3 A 1 70500 Kuopio Finland
Mikael Peräkylä, University of Kuopio Department of Biosciences, Laboratory of Biochemistry P.O.Box 1627 70211 Kuopio Finland
Reino Laatikainen, University of Kuopio Department of Biosciences, Laboratory of Chemistry P.O.Box 1627 70211 Kuopio Finland
Combining NMR ensembles and molecular dynamics simulations provides more realistic models of protein structures in solution and leads to better chemical shift prediction
Combining NMR ensembles and molecular dynamics simulations provides more realistic models of protein structures in solution and leads to better chemical shift prediction
Abstract While chemical shifts are invaluable for obtaining structural information from proteins, they also offer one of the rare ways to obtain information about protein dynamics. A necessary tool in transforming chemical shifts into structural and dynamic information is chemical shift prediction. In our previous work we developed a method for 4D prediction of protein 1H chemical shifts in which molecular motions, the...
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02-11-2012 10:31 AM
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
SHIFTX2: significantly improved protein chemical shift prediction
SHIFTX2: significantly improved protein chemical shift prediction
Abstract A new computer program, called SHIFTX2, is described which is capable of rapidly and accurately calculating diamagnetic 1H, 13C and 15N chemical shifts from protein coordinate data. Compared to its predecessor (SHIFTX) and to other existing protein chemical shift prediction programs, SHIFTX2 is substantially more accurate (up to 26% better by correlation coefficient with an RMS error that is up to 3.3Ã? smaller) than the next best performing program. It also provides significantly more coverage (up to 10% more),...
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04-01-2011 09:31 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...
4D prediction of protein 1H chemical shifts
Linear Mode
