Literature DB >> 17457516

A new model for chemical shifts of amide hydrogens in proteins.

Seongho Moon1, David A Case.   

Abstract

We propose a new computational model to predict amide proton chemical shifts in proteins. In addition to the ring-current, susceptibility and electrostatic effects of earlier models, we add a hydrogen-bonding term based on density functional calculations of model peptide-peptide and peptide-water systems. Both distance and angular terms are included, and the results are rationalized in terms of natural bond orbital analysis of the interactions. Comparison to observed shifts for 15 proteins shows a significant improvement over existing structure-shift correlations. These additions are incorporated in a new version of the SHIFTS program.

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Year:  2007        PMID: 17457516     DOI: 10.1007/s10858-007-9156-8

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


  22 in total

1.  A point-charge force field for molecular mechanics simulations of proteins based on condensed-phase quantum mechanical calculations.

Authors:  Yong Duan; Chun Wu; Shibasish Chowdhury; Mathew C Lee; Guoming Xiong; Wei Zhang; Rong Yang; Piotr Cieplak; Ray Luo; Taisung Lee; James Caldwell; Junmei Wang; Peter Kollman
Journal:  J Comput Chem       Date:  2003-12       Impact factor: 3.376

2.  1H NMR studies of human lysozyme: spectral assignment and comparison with hen lysozyme.

Authors:  C Redfield; C M Dobson
Journal:  Biochemistry       Date:  1990-08-07       Impact factor: 3.162

3.  Cooperative hydrogen bonding effects are key determinants of backbone amide proton chemical shifts in proteins.

Authors:  Laura L Parker; Andrew R Houk; Jan H Jensen
Journal:  J Am Chem Soc       Date:  2006-08-02       Impact factor: 15.419

4.  The relationship between amide proton chemical shifts and secondary structure in proteins.

Authors:  T Asakura; K Taoka; M Demura; M P Williamson
Journal:  J Biomol NMR       Date:  1995-11       Impact factor: 2.835

5.  Automated prediction of 15N, 13Calpha, 13Cbeta and 13C' chemical shifts in proteins using a density functional database.

Authors:  X P Xu; D A Case
Journal:  J Biomol NMR       Date:  2001-12       Impact factor: 2.835

6.  Characterization of rates of ring-flipping in trimethoprim in its ternary complexes with Lactobacillus casei dihydrofolate reductase and coenzyme analogues.

Authors:  V I Polshakov; B Birdsall; J Feeney
Journal:  Biochemistry       Date:  1999-11-30       Impact factor: 3.162

7.  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

8.  Correlation between 15N NMR chemical shifts in proteins and secondary structure.

Authors:  H Le; E Oldfield
Journal:  J Biomol NMR       Date:  1994-05       Impact factor: 2.835

9.  Protein phi and psi dihedral restraints determined from multidimensional hypersurface correlations of backbone chemical shifts and their use in the determination of protein tertiary structures.

Authors:  R D Beger; P H Bolton
Journal:  J Biomol NMR       Date:  1997-09       Impact factor: 2.835

10.  High-resolution solution structures of oxidized and reduced Escherichia coli thioredoxin.

Authors:  M F Jeng; A P Campbell; T Begley; A Holmgren; D A Case; P E Wright; H J Dyson
Journal:  Structure       Date:  1994-09-15       Impact factor: 5.006

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  28 in total

1.  Identification of helix capping and b-turn motifs from NMR chemical shifts.

Authors:  Yang Shen; Ad Bax
Journal:  J Biomol NMR       Date:  2012-03       Impact factor: 2.835

2.  Combining NMR ensembles and molecular dynamics simulations provides more realistic models of protein structures in solution and leads to better chemical shift prediction.

Authors:  Juuso Lehtivarjo; Kari Tuppurainen; Tommi Hassinen; Reino Laatikainen; Mikael Peräkylä
Journal:  J Biomol NMR       Date:  2012-03       Impact factor: 2.835

3.  4D prediction of protein (1)H chemical shifts.

Authors:  Juuso Lehtivarjo; Tommi Hassinen; Samuli-Petrus Korhonen; Mikael Peräkylä; Reino Laatikainen
Journal:  J Biomol NMR       Date:  2009-10-30       Impact factor: 2.835

4.  Coupling of Conformational Transitions in the N-terminal Domain of the 51-kDa FK506-binding Protein (FKBP51) Near Its Site of Interaction with the Steroid Receptor Proteins.

Authors:  David M LeMaster; Sourajit M Mustafi; Matthew Brecher; Jing Zhang; Annie Héroux; Hongmin Li; Griselda Hernández
Journal:  J Biol Chem       Date:  2015-05-07       Impact factor: 5.157

5.  PPM: a side-chain and backbone chemical shift predictor for the assessment of protein conformational ensembles.

Authors:  Da-Wei Li; Rafael Brüschweiler
Journal:  J Biomol NMR       Date:  2012-09-13       Impact factor: 2.835

6.  Interpreting protein structural dynamics from NMR chemical shifts.

Authors:  Paul Robustelli; Kate A Stafford; Arthur G Palmer
Journal:  J Am Chem Soc       Date:  2012-03-28       Impact factor: 15.419

7.  Protein-ligand structure guided by backbone and side-chain proton chemical shift perturbations.

Authors:  Clémentine Aguirre; Tim ten Brink; Olivier Cala; Jean-François Guichou; Isabelle Krimm
Journal:  J Biomol NMR       Date:  2014-09-26       Impact factor: 2.835

Review 8.  Applications of NMR and computational methodologies to study protein dynamics.

Authors:  Chitra Narayanan; Khushboo Bafna; Louise D Roux; Pratul K Agarwal; Nicolas Doucet
Journal:  Arch Biochem Biophys       Date:  2017-05-05       Impact factor: 4.013

9.  HASH: a program to accurately predict protein Hα shifts from neighboring backbone shifts.

Authors:  Jianyang Zeng; Pei Zhou; Bruce Randall Donald
Journal:  J Biomol NMR       Date:  2012-12-16       Impact factor: 2.835

10.  PACSY, a relational database management system for protein structure and chemical shift analysis.

Authors:  Woonghee Lee; Wookyung Yu; Suhkmann Kim; Iksoo Chang; Weontae Lee; John L Markley
Journal:  J Biomol NMR       Date:  2012-08-19       Impact factor: 2.835

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