PREDITOR

Last updated
PREDITOR
Content
DescriptionFor automated torsion angle prediction from chemical shifts
Data types
captured
Data input: Protein chemical shift assignments (BMRB or SHIFTY format); Data output: Predicted phi, psi, omega and chi-1 torsion angles
Contact
Research center University of Alberta
Laboratory David S. Wishart
Primary citation [1]
Access
Website http://wishart.biology.ualberta.ca/shiftor/cgi-bin/shiftor_1f.py
Miscellaneous
Data release
frequency
Last update 2012
Curation policyManually curated

PREDITOR (PREDIction of TORsion angles) is a freely available web-server for the prediction of protein torsion angles from chemical shifts. [1] For many years it has been known that protein chemical shifts are sensitive to protein secondary structure, which in turn, is sensitive to backbone torsion angles. [2] torsion angles are internal coordinates that can be used to describe the conformation of a polypeptide chain. They can also be used as constraints to help determine or refine protein structures via NMR spectroscopy. In proteins there are four major torsion angles of interest: phi, psi, omega and chi-1. Traditionally protein NMR spectroscopists have used vicinal J-coupling information and the Karplus relation to determine approximate backbone torsion angle constraints for phi and chi-1 angles. [3] However, several studies in the early 1990s pointed out the strong relationship between 1H and 13C chemical shifts and torsion angles, especially with backbone phi and psi angles. [2] Later a number of other papers pointed out additional chemical shift relationships with chi-1 and even omega angles. [2] PREDITOR was designed to exploit these experimental observations and to help NMR spectroscopists easily predict protein torsion angles from chemical shift assignments. Specifically, PREDITOR accepts protein sequence and/or chemical shift data as input and generates torsion angle predictions for phi, psi, omega and chi-1 angles. The algorithm that PREDITOR uses combines sequence alignment, chemical shift alignment and a number of related chemical shift analysis techniques to predict torsion angles. PREDITOR is unusually fast (<40 s per protein) and exhibits a very high level of accuracy. In a series of tests 88% of PREDITOR’s phi/psi predictions were within 30 degrees of the correct values, 84% of chi-1 predictions (3-state predictions) were correct and 99.97% of PREDITOR’s predicted omega angles were correct. PREDITOR also estimates the torsion angle errors so that its torsion angle constraints can be used with standard protein structure refinement software, such as CYANA, CNS, XPLOR and AMBER. PREDITOR also supports automated protein chemical shift re-referencing and the prediction of proline cis/trans states. PREDITOR is not the only torsion angle prediction software available. Several other computer programs including TALOS, [4] TALOS+ [5] and DANGLE [6] have also been developed to predict backbone torsion angles from protein chemical shifts. These stand-alone programs exhibit similar prediction performance to PREDITOR but are substantially slower.

See also

Related Research Articles

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<span class="mw-page-title-main">Ramakrishna V. Hosur</span> Indian biophysical scientist (born 1953)

Professor Ramakrishna Vijayacharya Hosur is an Indian biophysical scientist, known for his expertise in the areas of nuclear magnetic resonance and molecular biophysics. The Government of India honoured him, in 2014, by awarding him the Padma Shri, the fourth highest civilian award, for his contributions to the fields of science and technology.

David S. Wishart is a Canadian researcher in metabolomics and a Distinguished University Professor in the Department of Biological Sciences and the Department of Computing Science at the University of Alberta. Wishart also holds cross appointments in the Faculty of Pharmacy and Pharmaceutical Sciences and the Department of Laboratory Medicine and Pathology in the Faculty of Medicine and Dentistry. Additionally, Wishart holds a joint appointment in metabolomics at the Pacific Northwest National Laboratory in Richland, Washington. Wishart is well known for his pioneering contributions to the fields of protein NMR spectroscopy, bioinformatics, cheminformatics and metabolomics. In 2011, Wishart founded the Metabolomics Innovation Centre (TMIC), which is Canada's national metabolomics laboratory.

References

  1. 1 2 Berjanskii, MV; Neal S; Wishart DS (2006). "PREDITOR: a web server for predicting protein torsion angle restraints". Nucleic Acids Res. 34 (Web Server issue): W63-9. doi:10.1093/nar/gkl341. PMC   1538894 . PMID   16845087.
  2. 1 2 3 Wishart, DS (2011). "Interpreting protein chemical shift data". Prog. Nucl. Magn. Reson. Spectrosc. 58 (1–2): 62–87. doi:10.1016/j.pnmrs.2010.07.004. PMID   21241884.
  3. Karplus, M (1963). "Vicinal Proton Coupling in Nuclear Magnetic Resonance". J. Am. Chem. Soc. 85 (18): 2870–2871. doi:10.1021/ja00901a059.
  4. Cornilescu, G; Delaglio G; Bax A. (1999). "Protein backbone angle restraints from searching a database for chemical shift and sequence homology". J. Biomol. NMR. 13 (3): 289–302. doi:10.1023/A:1008392405740. PMID   10212987. S2CID   4991394.
  5. Shen, Y; Delaglio F; Cornilescu G; Bax A. (2009). "TALOS+: a hybrid method for predicting protein backbone torsion angles from NMR chemical shifts". J. Biomol. NMR. 44 (4): 213–223. doi:10.1007/s10858-009-9333-z. PMC   2726990 . PMID   19548092.
  6. Cheung, MS; Maguire ML; Stevens TJ; Broadhurst RW. (Feb 2010). "DANGLE: A Bayesian inferential method for predicting protein backbone dihedral angles and secondary structure". J Magn Reson. 202 (2): 223–33. Bibcode:2010JMagR.202..223C. doi:10.1016/j.jmr.2009.11.008. PMID   20015671.