Literature DB >> 16823900

Accurate prediction of protein torsion angles using chemical shifts and sequence homology.

Stephen Neal1, Mark Berjanskii, Haiyan Zhang, David S Wishart.   

Abstract

Torsion angle restraints are frequently used in the determination and refinement of protein structures by NMR. These restraints may be obtained by J coupling, cross-correlation measurements, nuclear Overhauser effects (NOEs) or secondary chemical shifts. Currently most backbone (phi/psi) torsion angles are determined using a combination of J(HNHalpha) couplings and chemical shift measurements while most side-chain (chi1) angles and cis/trans peptide bond angles (omega) are determined via NOEs. The dependency on multiple experimental (and computational) methods to obtain different torsion angle restraints is both time-consuming and error prone. The situation could be greatly improved if the determination of all torsion angles (phi, psi, chi and omega) could be made via a single type of measurement (i.e. chemical shifts). Here we describe a program, called SHIFTOR, that is able to accurately predict a large number of protein torsion angles (phi, psi, omega, chi1) using only 1H, 13C and 15N chemical shift assignments as input. Overall, the program is 100x faster and its predictions are approximately 20% better than existing methods. The program is also capable of predicting chi1 angles with 81% accuracy and omega angles with 100% accuracy. SHIFTOR exploits many of the recent developments and observations regarding chemical shift dependencies as well as using information in the Protein Databank to improve the quality of its shift-derived torsion angle predictions. SHIFTOR is available as a freely accessible web server at http://wishart.biology.ualberta.ca/shiftor. Copyright 2006 John Wiley & Sons, Ltd.

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Year:  2006        PMID: 16823900     DOI: 10.1002/mrc.1832

Source DB:  PubMed          Journal:  Magn Reson Chem        ISSN: 0749-1581            Impact factor:   2.447


  25 in total

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Authors:  Hak Jun Kim; Stanley C Howell; Wade D Van Horn; Young Ho Jeon; Charles R Sanders
Journal:  Prog Nucl Magn Reson Spectrosc       Date:  2009-11-01       Impact factor: 9.795

2.  Peptide bond conformation in peptides and proteins probed by dipolar coupling-chemical shift tensor correlation solid-state NMR.

Authors:  Dwaipayan Mukhopadhyay; Chitrak Gupta; Theint Theint; Christopher P Jaroniec
Journal:  J Magn Reson       Date:  2018-10-30       Impact factor: 2.229

3.  Solution structure of the coxsackievirus and adenovirus receptor domain 2.

Authors:  Shaokai Jiang; Michael Caffrey
Journal:  Protein Sci       Date:  2007-03       Impact factor: 6.725

4.  CheckShift: automatic correction of inconsistent chemical shift referencing.

Authors:  Simon W Ginzinger; Fabian Gerick; Murray Coles; Volker Heun
Journal:  J Biomol NMR       Date:  2007-11       Impact factor: 2.835

5.  Spectral fitting for signal assignment and structural analysis of uniformly 13C-labeled solid proteins by simulated annealing based on chemical shifts and spin dynamics.

Authors:  Yoh Matsuki; Hideo Akutsu; Toshimichi Fujiwara
Journal:  J Biomol NMR       Date:  2007-07-06       Impact factor: 2.835

6.  CheckShift improved: fast chemical shift reference correction with high accuracy.

Authors:  Simon W Ginzinger; Marko Skocibusić; Volker Heun
Journal:  J Biomol NMR       Date:  2009-07-03       Impact factor: 2.835

7.  A unified NMR strategy for high-throughput determination of backbone fold of small proteins.

Authors:  Dinesh Kumar; Anmol Gautam; Ramakrishna V Hosur
Journal:  J Struct Funct Genomics       Date:  2012-09-28

8.  Application of data mining tools for classification of protein structural class from residue based averaged NMR chemical shifts.

Authors:  Arun V Kumar; Rehana F M Ali; Yu Cao; V V Krishnan
Journal:  Biochim Biophys Acta       Date:  2015-03-07

9.  Validation of archived chemical shifts through atomic coordinates.

Authors:  Wolfgang Rieping; Wim F Vranken
Journal:  Proteins       Date:  2010-08-15

10.  SimShiftDB; local conformational restraints derived from chemical shift similarity searches on a large synthetic database.

Authors:  Simon W Ginzinger; Murray Coles
Journal:  J Biomol NMR       Date:  2009-02-18       Impact factor: 2.835

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