Literature DB >> 31255294

Modeling pH-Dependent NMR Chemical Shift Perturbations in Peptides.

Efrosini Artikis1, Charles L Brooks2.   

Abstract

Modeling the pH dependence of protein and peptide chemical shifts outside the range of physiological values (6.5-7) is key to understanding structure-function relationships of these systems. These capabilities are largely not available in current chemical shift prediction software. In this study, we utilize a combination of molecular dynamics and quantum mechanics to investigate the through-space and through-bond contributions of protonation-dependent chemical shift perturbations (CSPs) in model tripeptides. By altering the protonation state of the titratable group in the tripeptides, we observe a notable difference in the conformational ensembles and attendantly compute significant CSPs for all nuclei near the site of protonation. We thus demonstrate the ability to recapitulate experimental pH-dependent CSPs with good agreement (R = 0.85, 0.99, and 0.98 for 13C, 15N, and 1H, respectively). Broadly, we provide the groundwork for incorporating pH effects into empirical and semiempirical chemical shift predictors.
Copyright © 2019 Biophysical Society. Published by Elsevier Inc. All rights reserved.

Entities:  

Year:  2019        PMID: 31255294      PMCID: PMC6700603          DOI: 10.1016/j.bpj.2019.06.003

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  39 in total

1.  Random coil chemical shifts in acidic 8 M urea: implementation of random coil shift data in NMRView.

Authors:  S Schwarzinger; G J Kroon; T R Foss; P E Wright; H J Dyson
Journal:  J Biomol NMR       Date:  2000-09       Impact factor: 2.835

2.  Investigation of the neighboring residue effects on protein chemical shifts.

Authors:  Yunjun Wang; Oleg Jardetzky
Journal:  J Am Chem Soc       Date:  2002-11-27       Impact factor: 15.419

3.  Calculation of dipole-shielding polarizabilities (sigma(alphabetagamma)I): the influence of uniform electric field effects on the shielding of backbone nuclei in proteins.

Authors:  Jonathan Boyd; Carmen Domene; Christina Redfield; Marta B Ferraro; Paolo Lazzeretti
Journal:  J Am Chem Soc       Date:  2003-08-13       Impact factor: 15.419

4.  MMTSB Tool Set: enhanced sampling and multiscale modeling methods for applications in structural biology.

Authors:  Michael Feig; John Karanicolas; Charles L Brooks
Journal:  J Mol Graph Model       Date:  2004-05       Impact factor: 2.518

Review 5.  NMR studies of protein structure and dynamics.

Authors:  Lewis E Kay
Journal:  J Magn Reson       Date:  2005-04       Impact factor: 2.229

6.  Importance of the CMAP correction to the CHARMM22 protein force field: dynamics of hen lysozyme.

Authors:  Matthias Buck; Sabine Bouguet-Bonnet; Richard W Pastor; Alexander D MacKerell
Journal:  Biophys J       Date:  2005-12-16       Impact factor: 4.033

7.  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

8.  Probing multiple effects on 15N, 13C alpha, 13C beta, and 13C' chemical shifts in peptides using density functional theory.

Authors:  Xiao-Ping Xu; David A Case
Journal:  Biopolymers       Date:  2002-12-15       Impact factor: 2.505

9.  Tryptophan chemical shift in peptides and proteins: a solid state carbon-13 nuclear magnetic resonance spectroscopic and quantum chemical investigation.

Authors:  Haihong Sun; Eric Oldfield
Journal:  J Am Chem Soc       Date:  2004-04-14       Impact factor: 15.419

10.  Generalized born model with a simple smoothing function.

Authors:  Wonpil Im; Michael S Lee; Charles L Brooks
Journal:  J Comput Chem       Date:  2003-11-15       Impact factor: 3.376

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