Literature DB >> 18326625

Consistent blind protein structure generation from NMR chemical shift data.

Yang Shen1, Oliver Lange, Frank Delaglio, Paolo Rossi, James M Aramini, Gaohua Liu, Alexander Eletsky, Yibing Wu, Kiran K Singarapu, Alexander Lemak, Alexandr Ignatchenko, Cheryl H Arrowsmith, Thomas Szyperski, Gaetano T Montelione, David Baker, Ad Bax.   

Abstract

Protein NMR chemical shifts are highly sensitive to local structure. A robust protocol is described that exploits this relation for de novo protein structure generation, using as input experimental parameters the (13)C(alpha), (13)C(beta), (13)C', (15)N, (1)H(alpha) and (1)H(N) NMR chemical shifts. These shifts are generally available at the early stage of the traditional NMR structure determination process, before the collection and analysis of structural restraints. The chemical shift based structure determination protocol uses an empirically optimized procedure to select protein fragments from the Protein Data Bank, in conjunction with the standard ROSETTA Monte Carlo assembly and relaxation methods. Evaluation of 16 proteins, varying in size from 56 to 129 residues, yielded full-atom models that have 0.7-1.8 A root mean square deviations for the backbone atoms relative to the experimentally determined x-ray or NMR structures. The strategy also has been successfully applied in a blind manner to nine protein targets with molecular masses up to 15.4 kDa, whose conventional NMR structure determination was conducted in parallel by the Northeast Structural Genomics Consortium. This protocol potentially provides a new direction for high-throughput NMR structure determination.

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Year:  2008        PMID: 18326625      PMCID: PMC2290745          DOI: 10.1073/pnas.0800256105

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  28 in total

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Journal:  Methods Enzymol       Date:  2005       Impact factor: 1.600

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7.  Protein structure determination from NMR chemical shifts.

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Journal:  Proc Natl Acad Sci U S A       Date:  2007-05-29       Impact factor: 11.205

8.  Building native protein conformation from NMR backbone chemical shifts using Monte Carlo fragment assembly.

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9.  An improved protein decoy set for testing energy functions for protein structure prediction.

Authors:  Jerry Tsai; Richard Bonneau; Alexandre V Morozov; Brian Kuhlman; Carol A Rohl; David Baker
Journal:  Proteins       Date:  2003-10-01

10.  Protein backbone angle restraints from searching a database for chemical shift and sequence homology.

Authors:  G Cornilescu; F Delaglio; A Bax
Journal:  J Biomol NMR       Date:  1999-03       Impact factor: 2.835

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  380 in total

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Journal:  Proteins       Date:  2010-07

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Journal:  Proteins       Date:  2011-12-13

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5.  Structural insight into unique cardiac myosin-binding protein-C motif: a partially folded domain.

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Journal:  J Biol Chem       Date:  2012-01-10       Impact factor: 5.157

6.  VITAL NMR: using chemical shift derived secondary structure information for a limited set of amino acids to assess homology model accuracy.

Authors:  Michael C Brothers; Anna E Nesbitt; Michael J Hallock; Sanjeewa G Rupasinghe; Ming Tang; Jason Harris; Jerome Baudry; Mary A Schuler; Chad M Rienstra
Journal:  J Biomol NMR       Date:  2011-11-03       Impact factor: 2.835

7.  A procedure to validate and correct the 13C chemical shift calibration of RNA datasets.

Authors:  Thomas Aeschbacher; Mario Schubert; Frédéric H-T Allain
Journal:  J Biomol NMR       Date:  2012-01-18       Impact factor: 2.835

8.  An enumerative stepwise ansatz enables atomic-accuracy RNA loop modeling.

Authors:  Parin Sripakdeevong; Wipapat Kladwang; Rhiju Das
Journal:  Proc Natl Acad Sci U S A       Date:  2011-12-05       Impact factor: 11.205

9.  A Bayesian approach for determining protein side-chain rotamer conformations using unassigned NOE data.

Authors:  Jianyang Zeng; Kyle E Roberts; Pei Zhou; Bruce Randall Donald
Journal:  J Comput Biol       Date:  2011-10-04       Impact factor: 1.479

10.  Interaction of Huntingtin Exon-1 Peptides with Lipid-Based Micellar Nanoparticles Probed by Solution NMR and Q-Band Pulsed EPR.

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Journal:  J Am Chem Soc       Date:  2018-05-14       Impact factor: 15.419

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