Literature DB >> 18709333

Automated amino acid side-chain NMR assignment of proteins using (13)C- and (15)N-resolved 3D [ (1)H, (1)H]-NOESY.

Francesco Fiorito1, Torsten Herrmann, Fred F Damberger, Kurt Wüthrich.   

Abstract

ASCAN is a new algorithm for automatic sequence-specific NMR assignment of amino acid side-chains in proteins, which uses as input the primary structure of the protein, chemical shift lists of (1)H(N), (15)N, (13)C(alpha), (13)C(beta) and possibly (1)H(alpha) from the previous polypeptide backbone assignment, and one or several 3D (13)C- or (15)N-resolved [(1)H,(1)H]-NOESY spectra. ASCAN has also been laid out for the use of TOCSY-type data sets as supplementary input. The program assigns new resonances based on comparison of the NMR signals expected from the chemical structure with the experimentally observed NOESY peak patterns. The core parts of the algorithm are a procedure for generating expected peak positions, which is based on variable combinations of assigned and unassigned resonances that arise for the different amino acid types during the assignment procedure, and a corresponding set of acceptance criteria for assignments based on the NMR experiments used. Expected patterns of NOESY cross peaks involving unassigned resonances are generated using the list of previously assigned resonances, and tentative chemical shift values for the unassigned signals taken from the BMRB statistics for globular proteins. Use of this approach with the 101-amino acid residue protein FimD(25-125) resulted in 84% of the hydrogen atoms and their covalently bound heavy atoms being assigned with a correctness rate of 90%. Use of these side-chain assignments as input for automated NOE assignment and structure calculation with the ATNOS/CANDID/DYANA program suite yielded structure bundles of comparable quality, in terms of precision and accuracy of the atomic coordinates, as those of a reference structure determined with interactive assignment procedures. A rationale for the high quality of the ASCAN-based structure determination results from an analysis of the distribution of the assigned side chains, which revealed near-complete assignments in the core of the protein, with most of the incompletely assigned residues located at or near the protein surface.

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Year:  2008        PMID: 18709333     DOI: 10.1007/s10858-008-9259-x

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


  27 in total

Review 1.  Automated analysis of NMR assignments and structures for proteins.

Authors:  H N Moseley; G T Montelione
Journal:  Curr Opin Struct Biol       Date:  1999-10       Impact factor: 6.809

2.  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

3.  PACES: Protein sequential assignment by computer-assisted exhaustive search.

Authors:  Brian E Coggins; Pei Zhou
Journal:  J Biomol NMR       Date:  2003-06       Impact factor: 2.835

Review 4.  Automation of NMR structure determination of proteins.

Authors:  Amanda S Altieri; R Andrew Byrd
Journal:  Curr Opin Struct Biol       Date:  2004-10       Impact factor: 6.809

5.  Assignments for the Bombyx mori pheromone-binding protein fragment BmPBP(1-128) at pH 6.5.

Authors:  Erich Michel; Fred F Damberger; Angela M Chen; Yuko Ishida; Walter S Leal; Kurt Wüthrich
Journal:  J Biomol NMR       Date:  2005-01       Impact factor: 2.835

6.  Structural basis of chaperone-subunit complex recognition by the type 1 pilus assembly platform FimD.

Authors:  Mireille Nishiyama; Reto Horst; Oliv Eidam; Torsten Herrmann; Oleksandr Ignatov; Michael Vetsch; Pascal Bettendorff; Ilian Jelesarov; Markus G Grütter; Kurt Wüthrich; Rudi Glockshuber; Guido Capitani
Journal:  EMBO J       Date:  2005-05-26       Impact factor: 11.598

7.  Automated analysis of protein NMR assignments using methods from artificial intelligence.

Authors:  D E Zimmerman; C A Kulikowski; Y Huang; W Feng; M Tashiro; S Shimotakahara; C Chien; R Powers; G T Montelione
Journal:  J Mol Biol       Date:  1997-06-20       Impact factor: 5.469

8.  Pseudo-structures for the 20 common amino acids for use in studies of protein conformations by measurements of intramolecular proton-proton distance constraints with nuclear magnetic resonance.

Authors:  K Wüthrich; M Billeter; W Braun
Journal:  J Mol Biol       Date:  1983-10-05       Impact factor: 5.469

9.  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

10.  Fully automated sequence-specific resonance assignments of hetero- nuclear protein spectra.

Authors:  Daniel Malmodin; Christina H M Papavoine; Martin Billeter
Journal:  J Biomol NMR       Date:  2003-09       Impact factor: 2.835

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  40 in total

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2.  NMR structure determination of Ixolaris and factor X(a) interaction reveals a noncanonical mechanism of Kunitz inhibition.

Authors:  Viviane S De Paula; Nikolaos G Sgourakis; Ivo M B Francischetti; Fabio C L Almeida; Robson Q Monteiro; Ana Paula Valente
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3.  Automated protein structure calculation from NMR data.

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Journal:  J Biomol NMR       Date:  2009-01-10       Impact factor: 2.835

4.  Slight mistuning of a cryogenic probe significantly perturbs the water 1H precession frequency.

Authors:  Dennis A Torchia
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Authors:  Galina A Stepanyuk; Pedro Serrano; Eigen Peralta; Carol L Farr; Herbert L Axelrod; Michael Geralt; Debanu Das; Hsiu-Ju Chiu; Lukasz Jaroszewski; Ashley M Deacon; Scott A Lesley; Marc-André Elsliger; Adam Godzik; Ian A Wilson; Kurt Wüthrich; Daniel R Salomon; James R Williamson
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Authors:  Samit Kumar Dutta; Pedro Serrano; Michael Geralt; Herbert L Axelrod; Qingping Xu; Scott A Lesley; Adam Godzik; Ashley M Deacon; Marc-André Elsliger; Ian A Wilson; Kurt Wüthrich
Journal:  Protein Sci       Date:  2015-07-30       Impact factor: 6.725

7.  NMR structure of the Bordetella bronchiseptica protein NP_888769.1 establishes a new phage-related protein family PF13554.

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8.  Exclusively NOESY-based automated NMR assignment and structure determination of proteins.

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9.  NMR in a crystallography-based high-throughput protein structure-determination environment.

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10.  NMR structure of the protein NP_247299.1: comparison with the crystal structure.

Authors:  Kristaps Jaudzems; Michael Geralt; Pedro Serrano; Biswaranjan Mohanty; Reto Horst; Bill Pedrini; Marc André Elsliger; Ian A Wilson; Kurt Wüthrich
Journal:  Acta Crystallogr Sect F Struct Biol Cryst Commun       Date:  2010-07-06
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