Literature DB >> 19137264

Automated protein structure calculation from NMR data.

Mike P Williamson1, C Jeremy Craven.   

Abstract

Current software is almost at the stage to permit completely automatic structure determination of small proteins of <15 kDa, from NMR spectra to structure validation with minimal user interaction. This goal is welcome, as it makes structure calculation more objective and therefore more easily validated, without any loss in the quality of the structures generated. Moreover, it releases expert spectroscopists to carry out research that cannot be automated. It should not take much further effort to extend automation to ca 20 kDa. However, there are technological barriers to further automation, of which the biggest are identified as: routines for peak picking; adoption and sharing of a common framework for structure calculation, including the assembly of an automated and trusted package for structure validation; and sample preparation, particularly for larger proteins. These barriers should be the main target for development of methodology for protein structure determination, particularly by structural genomics consortia.

Mesh:

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Year:  2009        PMID: 19137264     DOI: 10.1007/s10858-008-9295-6

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


  74 in total

1.  Structural genomics in North America.

Authors:  T C Terwilliger
Journal:  Nat Struct Biol       Date:  2000-11

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.  The Xplor-NIH NMR molecular structure determination package.

Authors:  Charles D Schwieters; John J Kuszewski; Nico Tjandra; G Marius Clore
Journal:  J Magn Reson       Date:  2003-01       Impact factor: 2.229

4.  APART: automated preprocessing for NMR assignments with reduced tedium.

Authors:  Norma H Pawley; Jason D Gans; Ryszard Michalczyk
Journal:  Bioinformatics       Date:  2004-09-23       Impact factor: 6.937

5.  ABACUS, a direct method for protein NMR structure computation via assembly of fragments.

Authors:  A Grishaev; C A Steren; B Wu; A Pineda-Lucena; C Arrowsmith; M Llinás
Journal:  Proteins       Date:  2005-10-01

Review 6.  NMR in the SPINE Structural Proteomics project.

Authors:  E Ab; A R Atkinson; L Banci; I Bertini; S Ciofi-Baffoni; K Brunner; T Diercks; V Dötsch; F Engelke; G E Folkers; C Griesinger; W Gronwald; U Günther; M Habeck; R N de Jong; H R Kalbitzer; B Kieffer; B R Leeflang; S Loss; C Luchinat; T Marquardsen; D Moskau; K P Neidig; M Nilges; M Piccioli; R Pierattelli; W Rieping; T Schippmann; H Schwalbe; G Travé; J Trenner; J Wöhnert; M Zweckstetter; R Kaptein
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  2006-09-19

7.  Automated structure determination of proteins with the SAIL-FLYA NMR method.

Authors:  Mitsuhiro Takeda; Teppei Ikeya; Peter Güntert; Masatsune Kainosho
Journal:  Nat Protoc       Date:  2007       Impact factor: 13.491

8.  The program XEASY for computer-supported NMR spectral analysis of biological macromolecules.

Authors:  C Bartels; T H Xia; M Billeter; P Güntert; K Wüthrich
Journal:  J Biomol NMR       Date:  1995-07       Impact factor: 2.835

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.  Contact replacement for NMR resonance assignment.

Authors:  Fei Xiong; Gopal Pandurangan; Chris Bailey-Kellogg
Journal:  Bioinformatics       Date:  2008-07-01       Impact factor: 6.937

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  26 in total

1.  Amide temperature coefficients in the protein G B1 domain.

Authors:  Jennifer H Tomlinson; Mike P Williamson
Journal:  J Biomol NMR       Date:  2011-11-11       Impact factor: 2.835

2.  SAGA: rapid automatic mainchain NMR assignment for large proteins.

Authors:  Gordon M Crippen; Aikaterini Rousaki; Matthew Revington; Yongbo Zhang; Erik R P Zuiderweg
Journal:  J Biomol NMR       Date:  2010-03-16       Impact factor: 2.835

3.  Reliability of exclusively NOESY-based automated resonance assignment and structure determination of proteins.

Authors:  Elena Schmidt; Peter Güntert
Journal:  J Biomol NMR       Date:  2013-09-15       Impact factor: 2.835

4.  Quantum-mechanics-derived 13Calpha chemical shift server (CheShift) for protein structure validation.

Authors:  Jorge A Vila; Yelena A Arnautova; Osvaldo A Martin; Harold A Scheraga
Journal:  Proc Natl Acad Sci U S A       Date:  2009-09-08       Impact factor: 11.205

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

Authors:  Paul Guerry; Viet Dung Duong; Torsten Herrmann
Journal:  J Biomol NMR       Date:  2015-04-28       Impact factor: 2.835

6.  Systematic evaluation of combined automated NOE assignment and structure calculation with CYANA.

Authors:  Lena Buchner; Peter Güntert
Journal:  J Biomol NMR       Date:  2015-03-22       Impact factor: 2.835

7.  Combined automated NOE assignment and structure calculation with CYANA.

Authors:  Peter Güntert; Lena Buchner
Journal:  J Biomol NMR       Date:  2015-03-24       Impact factor: 2.835

8.  Enhanced biosynthetically directed fractional carbon-13 enrichment of proteins for backbone NMR assignments.

Authors:  Broc R Wenrich; Reilly E Sonstrom; Riju A Gupta; David Rovnyak
Journal:  Protein Expr Purif       Date:  2015-08-06       Impact factor: 1.650

9.  CONNJUR R: an annotation strategy for fostering reproducibility in bio-NMR-protein spectral assignment.

Authors:  Matthew Fenwick; Jeffrey C Hoch; Eldon Ulrich; Michael R Gryk
Journal:  J Biomol NMR       Date:  2015-08-08       Impact factor: 2.835

10.  PICKY: a novel SVD-based NMR spectra peak picking method.

Authors:  Babak Alipanahi; Xin Gao; Emre Karakoc; Logan Donaldson; Ming Li
Journal:  Bioinformatics       Date:  2009-06-15       Impact factor: 6.937

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