Literature DB >> 25917899

CASD-NMR 2: robust and accurate unsupervised analysis of raw NOESY spectra and protein structure determination with UNIO.

Paul Guerry1, Viet Dung Duong1, Torsten Herrmann2.   

Abstract

UNIO is a comprehensive software suite for protein NMR structure determination that enables full automation of all NMR data analysis steps involved--including signal identification in NMR spectra, sequence-specific backbone and side-chain resonance assignment, NOE assignment and structure calculation. Within the framework of the second round of the community-wide stringent blind NMR structure determination challenge (CASD-NMR 2), we participated in two categories of CASD-NMR 2, namely using either raw NMR spectra or unrefined NOE peak lists as input. A total of 15 resulting NMR structure bundles were submitted for 9 out of 10 blind protein targets. All submitted UNIO structures accurately coincided with the corresponding blind targets as documented by an average backbone root mean-square deviation to the reference proteins of only 1.2 Å. Also, the precision of the UNIO structure bundles was virtually identical to the ensemble of reference structures. By assessing the quality of all UNIO structures submitted to the two categories, we find throughout that only the UNIO-ATNOS/CANDID approach using raw NMR spectra consistently yielded structure bundles of high quality for direct deposition in the Protein Data Bank. In conclusion, the results obtained in CASD-NMR 2 are another vital proof for robust, accurate and unsupervised NMR data analysis by UNIO for real-world applications.

Entities:  

Keywords:  ATNOS; CANDID; CASD-NMR; Nuclear magnetic resonance; Protein structure determination; UNIO; Unsupervised data analysis

Mesh:

Substances:

Year:  2015        PMID: 25917899     DOI: 10.1007/s10858-015-9934-7

Source DB:  PubMed          Journal:  J Biomol NMR        ISSN: 0925-2738            Impact factor:   2.835


  25 in total

1.  Protein NMR structure determination with automated NOE assignment using the new software CANDID and the torsion angle dynamics algorithm DYANA.

Authors:  Torsten Herrmann; Peter Güntert; Kurt Wüthrich
Journal:  J Mol Biol       Date:  2002-05-24       Impact factor: 5.469

Review 2.  Force fields for protein simulations.

Authors:  Jay W Ponder; David A Case
Journal:  Adv Protein Chem       Date:  2003

3.  Automated protein structure calculation from NMR data.

Authors:  Mike P Williamson; C Jeremy Craven
Journal:  J Biomol NMR       Date:  2009-01-10       Impact factor: 2.835

4.  Automated sequence-specific protein NMR assignment using the memetic algorithm MATCH.

Authors:  Jochen Volk; Torsten Herrmann; Kurt Wüthrich
Journal:  J Biomol NMR       Date:  2008-05-30       Impact factor: 2.835

Review 5.  Advances in automated NMR protein structure determination.

Authors:  Paul Guerry; Torsten Herrmann
Journal:  Q Rev Biophys       Date:  2011-03-17       Impact factor: 5.318

6.  Recommendations of the wwPDB NMR Validation Task Force.

Authors:  Gaetano T Montelione; Michael Nilges; Ad Bax; Peter Güntert; Torsten Herrmann; Jane S Richardson; Charles D Schwieters; Wim F Vranken; Geerten W Vuister; David S Wishart; Helen M Berman; Gerard J Kleywegt; John L Markley
Journal:  Structure       Date:  2013-09-03       Impact factor: 5.006

7.  Torsion angle dynamics for NMR structure calculation with the new program DYANA.

Authors:  P Güntert; C Mumenthaler; K Wüthrich
Journal:  J Mol Biol       Date:  1997-10-17       Impact factor: 5.469

8.  The J-UNIO protocol for automated protein structure determination by NMR in solution.

Authors:  Pedro Serrano; Bill Pedrini; Biswaranjan Mohanty; Michael Geralt; Torsten Herrmann; Kurt Wüthrich
Journal:  J Biomol NMR       Date:  2012-07-03       Impact factor: 2.835

9.  Calculation of symmetric multimer structures from NMR data using a priori knowledge of the monomer structure, co-monomer restraints, and interface mapping: The case of leucine zippers.

Authors:  S I O'Donoghue; G F King; M Nilges
Journal:  J Biomol NMR       Date:  1996-09       Impact factor: 2.835

10.  PONDEROSA, an automated 3D-NOESY peak picking program, enables automated protein structure determination.

Authors:  Woonghee Lee; Jin Hae Kim; William M Westler; John L Markley
Journal:  Bioinformatics       Date:  2011-04-21       Impact factor: 6.937

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5.  The second round of Critical Assessment of Automated Structure Determination of Proteins by NMR: CASD-NMR-2013.

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Journal:  J Biomol NMR       Date:  2015-06-14       Impact factor: 2.835

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  9 in total

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