Literature DB >> 9041639

Prediction of titration properties of structures of a protein derived from molecular dynamics trajectories.

S T Wlodek1, J Antosiewicz, J A McCammon.   

Abstract

This paper explores the dependence of the molecular dynamics (MD) trajectory of a protein molecule on the titration state assigned to the molecule. Four 100-ps MD trajectories of bovine pancreatic trypsin inhibitor (BPTI) were generated, starting from two different structures, each of which was held in two different charge states. The two starting structures were the X-ray crystal structure and one of the solution structures determined by NMR, and the charge states differed only in the ionization state of N terminus. Although it is evident that the MD simulations were too short to sample fully the equilibrium distribution of structures in each case, standard Poisson-Boltzmann titration state analysis of the resulting configurations shows general agreement between the overall titration behavior of the protein and the charge state assumed during MD simulation: at pH 7, the total net charge of the protein resulting from the titration analysis is consistently lower for the protein with the N terminus assumed to be neutral than for the protein with the N terminus assumed to be charged. For most of the ionizable residues, the differences in the calculated pKaS among the four trajectories are statistically negligible and remain in good agreement with the data obtained by crystal structure titration and by experiment. The exceptions include the N terminus, which responds directly to the change of its imposed charge; the C terminus, which in the NMR structure interacts strongly with the former; and a few other residues (Arg 1, Glu 7, Tyr 35, and Arg 42) whose pKaS reflect the initial structure and the limited trajectory lengths. This study illustrates the importance of the careful assignment of protonation states at the start of MD simulations and points to the need for simulation methods that allow for the variation of the protonation state in the calculation of equilibrium properties.

Entities:  

Mesh:

Substances:

Year:  1997        PMID: 9041639      PMCID: PMC2143648          DOI: 10.1002/pro.5560060213

Source DB:  PubMed          Journal:  Protein Sci        ISSN: 0961-8368            Impact factor:   6.725


  14 in total

1.  Electrostatic effects and hydrogen exchange behaviour in proteins. The pH dependence of exchange rates in lysozyme.

Authors:  M Delepierre; C M Dobson; M Karplus; F M Poulsen; D J States; R E Wedin
Journal:  J Mol Biol       Date:  1987-09-05       Impact factor: 5.469

2.  The Protein Data Bank: a computer-based archival file for macromolecular structures.

Authors:  F C Bernstein; T F Koetzle; G J Williams; E F Meyer; M D Brice; J R Rodgers; O Kennard; T Shimanouchi; M Tasumi
Journal:  J Mol Biol       Date:  1977-05-25       Impact factor: 5.469

3.  High-field 13C nuclear magnetic resonance studies at 90.5 MHz of the basic pancreatic trypsin inhibitor.

Authors:  R Richarz; K Wüthrich
Journal:  Biochemistry       Date:  1978-06-13       Impact factor: 3.162

4.  Prediction of pH-dependent properties of proteins.

Authors:  J Antosiewicz; J A McCammon; M K Gilson
Journal:  J Mol Biol       Date:  1994-05-06       Impact factor: 5.469

5.  Conformation and hydrogen ion titration of proteins: a continuum electrostatic model with conformational flexibility.

Authors:  T J You; D Bashford
Journal:  Biophys J       Date:  1995-11       Impact factor: 4.033

6.  Analysis of electrostatic interactions and their relationship to conformation and stability of bovine pancreatic trypsin inhibitor.

Authors:  K L March; D G Maskalick; R D England; S H Friend; F R Gurd
Journal:  Biochemistry       Date:  1982-10-12       Impact factor: 3.162

7.  The determinants of pKas in proteins.

Authors:  J Antosiewicz; J A McCammon; M K Gilson
Journal:  Biochemistry       Date:  1996-06-18       Impact factor: 3.162

8.  Explicit solvent models in protein pKa calculations.

Authors:  C J Gibas; S Subramaniam
Journal:  Biophys J       Date:  1996-07       Impact factor: 4.033

9.  Multiple-site titration and molecular modeling: two rapid methods for computing energies and forces for ionizable groups in proteins.

Authors:  M K Gilson
Journal:  Proteins       Date:  1993-03

10.  Polar hydrogen positions in proteins: empirical energy placement and neutron diffraction comparison.

Authors:  A T Brünger; M Karplus
Journal:  Proteins       Date:  1988
View more
  9 in total

1.  Side-chain ionization states in a potassium channel.

Authors:  K M Ranatunga; I H Shrivastava; G R Smith; M S Sansom
Journal:  Biophys J       Date:  2001-03       Impact factor: 4.033

2.  On the evaluation and optimization of protein X-ray structures for pKa calculations.

Authors:  Jens Erik Nielsen; J Andrew McCammon
Journal:  Protein Sci       Date:  2003-02       Impact factor: 6.725

3.  Calculating pKa values in enzyme active sites.

Authors:  Jens Erik Nielsen; J Andrew McCammon
Journal:  Protein Sci       Date:  2003-09       Impact factor: 6.725

4.  Molecular dynamics simulations of protein-tyrosine phosphatase 1B. II. substrate-enzyme interactions and dynamics.

Authors:  G H Peters; T M Frimurer; J N Andersen; O H Olsen
Journal:  Biophys J       Date:  2000-05       Impact factor: 4.033

5.  Assessment of two theoretical methods to estimate potentiometric titration curves of peptides: comparison with experiment.

Authors:  Joanna Makowska; Katarzyna Bagiñska; Mariusz Makowski; Anna Jagielska; Adam Liwo; Franciszek Kasprzykowski; Lech Chmurzyñski; Harold A Scheraga
Journal:  J Phys Chem B       Date:  2006-03-09       Impact factor: 2.991

Review 6.  Factors influencing the energetics of electron and proton transfers in proteins. What can be learned from calculations.

Authors:  M R Gunner; Junjun Mao; Yifan Song; Jinrang Kim
Journal:  Biochim Biophys Acta       Date:  2006-06-17

7.  Effect of HPr phosphorylation on structure, dynamics, and interactions in the course of transcriptional control.

Authors:  Nadine Homeyer; Timm Essigke; Heike Meiselbach; G Matthias Ullmann; Heinrich Sticht
Journal:  J Mol Model       Date:  2006-12-01       Impact factor: 1.810

8.  Influence of the Length of the Alanine Spacer on the Acidic-Basic Properties of the Ac-Lys-(Ala)(n)-Lys-NH(2) Peptides (n = 0, 1, 2, …, 5).

Authors:  Joanna Makowska; Adam Liwo; Lech Chmurzyński; Harold A Scheraga
Journal:  J Solution Chem       Date:  2012-10-13       Impact factor: 1.677

9.  Acidic-basic properties of three alanine-based peptides containing acidic and basic side chains: comparison between theory and experiment.

Authors:  Joanna Makowska; Katarzyna Bagińska; Adam Liwo; Lech Chmurzyński; Harold A Scheraga
Journal:  Biopolymers       Date:  2008       Impact factor: 2.505

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.