Literature DB >> 12836667

Complete protein structure determination using backbone residual dipolar couplings and sidechain rotamer prediction.

Michael Andrec1, Yuichi Harano, Matthew P Jacobson, Richard A Friesner, Ronald M Levy.   

Abstract

Residual dipolar couplings provide significant structural information for proteins in the solution state, which makes them attractive for the rapid determination of protein structures. While dipolar couplings contain inherent structural ambiguities, these can be reduced via an overlap similarity measure that insists that protein fragments assigned to overlapping regions of the sequence must have self-consistent structures. This allows us to determine a backbone fold (including the correct Calpha-Cbeta bond orientations) using only residual dipolar coupling data from one ordering medium. The resulting backbone structures are of sufficient quality to allow for modeling of sidechain rotamer states using a rotamer prediction algorithm and a force field employing the Surface Generalized Born continuum solvation model. We demonstrate the applicability of the method using experimental data for ubiquitin. These results illustrate the synergies that are possible between protein structural database and molecular modeling methods and NMR spectroscopy, and we expect that the further development of these methods will lead to the extraction of high resolution structural information from minimal NMR data.

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Year:  2002        PMID: 12836667     DOI: 10.1023/a:1020435630054

Source DB:  PubMed          Journal:  J Struct Funct Genomics        ISSN: 1345-711X


  15 in total

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Review 2.  Establishing a degree of order: obtaining high-resolution NMR structures from molecular alignment.

Authors:  N Tjandra
Journal:  Structure       Date:  1999-09-15       Impact factor: 5.006

3.  Protein structural motif recognition via NMR residual dipolar couplings.

Authors:  M Andrec; P Du; R M Levy
Journal:  J Am Chem Soc       Date:  2001-02-14       Impact factor: 15.419

4.  Structural constraints from residual tensorial couplings in high resolution NMR without an explicit term for the alignment tensor.

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5.  Protein structure alignment by incremental combinatorial extension (CE) of the optimal path.

Authors:  I N Shindyalov; P E Bourne
Journal:  Protein Eng       Date:  1998-09

6.  Assessing sequence comparison methods with reliable structurally identified distant evolutionary relationships.

Authors:  S E Brenner; C Chothia; T J Hubbard
Journal:  Proc Natl Acad Sci U S A       Date:  1998-05-26       Impact factor: 11.205

7.  Structure of ubiquitin refined at 1.8 A resolution.

Authors:  S Vijay-Kumar; C E Bugg; W J Cook
Journal:  J Mol Biol       Date:  1987-04-05       Impact factor: 5.469

8.  Prediction of the folding of short polypeptide segments by uniform conformational sampling.

Authors:  R E Bruccoleri; M Karplus
Journal:  Biopolymers       Date:  1987-01       Impact factor: 2.505

9.  Order matrix analysis of residual dipolar couplings using singular value decomposition.

Authors:  J A Losonczi; M Andrec; M W Fischer; J H Prestegard
Journal:  J Magn Reson       Date:  1999-06       Impact factor: 2.229

10.  Tunable alignment of macromolecules by filamentous phage yields dipolar coupling interactions.

Authors:  M R Hansen; L Mueller; A Pardi
Journal:  Nat Struct Biol       Date:  1998-12
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  13 in total

1.  Automated protein fold determination using a minimal NMR constraint strategy.

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2.  Protein structure prediction using sparse dipolar coupling data.

Authors:  Youxing Qu; Jun-tao Guo; Victor Olman; Ying Xu
Journal:  Nucleic Acids Res       Date:  2004-01-26       Impact factor: 16.971

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6.  A molecular mechanics approach to modeling protein-ligand interactions: relative binding affinities in congeneric series.

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7.  Identification of small molecule inhibitors against UBE2C by using docking studies.

Authors:  Kesavan Sabitha; Thangarajan Rajkumar
Journal:  Bioinformation       Date:  2012-10-31

8.  A general method for the unbiased improvement of solution NMR structures by the use of related X-ray data, the AUREMOL-ISIC algorithm.

Authors:  Konrad Brunner; Wolfram Gronwald; Jochen M Trenner; Klaus-Peter Neidig; Hans Robert Kalbitzer
Journal:  BMC Struct Biol       Date:  2006-06-26

Review 9.  Practical lessons from protein structure prediction.

Authors:  Krzysztof Ginalski; Nick V Grishin; Adam Godzik; Leszek Rychlewski
Journal:  Nucleic Acids Res       Date:  2005-04-01       Impact factor: 16.971

10.  Organism-adapted specificity of the allosteric regulation of pyruvate kinase in lactic acid bacteria.

Authors:  Nadine Veith; Anna Feldman-Salit; Vlad Cojocaru; Stefan Henrich; Ursula Kummer; Rebecca C Wade
Journal:  PLoS Comput Biol       Date:  2013-07-25       Impact factor: 4.475

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