Literature DB >> 2624684

Monte Carlo simulations of a protein molecule with and without hydration energy calculated by the hydration-shell model.

H Wako1.   

Abstract

Monte Carlo simulations of a small protein, crambin, were carried out with and without hydration energy. The methodology presented here is characterized, as compared with the other similar simulations of proteins in solution, by two points: (1) protein conformations are treated in fixed geometry so that dihedral angles are independent variables rather than cartesian coordinates of atoms; and (2) instead of treating water molecules explicitly in the calculation, hydration energy is incorporated in the conformational energy function in the form of sigma giAi, where Ai is the accessible surface area of an atomic group i in a given conformation, and gi is the free energy of hydration per unit surface area of the atomic group (i.e., hydration-shell model). Reality of this model was tested by carrying out Monte Carlo simulations for the two kinds of starting conformations, native and unfolded ones, and in the two kinds of systems, in vacuo and solution. In the simulations starting from the native conformation, the differences between the mean properties in vacuo and solution simulations are not very large, but their fluctuations around the mean conformation during the simulation are relatively smaller in solution than in vacuo. On the other hand, in the simulations starting from the unfolded conformation, the molecule fluctuates much more largely in solution than in vacuo, and the effects of taking into account the hydration energy are pronounced very much. The results suggest that the method presented in this paper is useful for the simulations of proteins in solution.

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Year:  1989        PMID: 2624684     DOI: 10.1007/bf01024898

Source DB:  PubMed          Journal:  J Protein Chem        ISSN: 0277-8033


  11 in total

1.  Effects of hydrated water on protein unfolding.

Authors:  T Ooi; M Oobatake
Journal:  J Biochem       Date:  1988-01       Impact factor: 3.387

Review 2.  Accurate simulation of protein dynamics in solution.

Authors:  M Levitt; R Sharon
Journal:  Proc Natl Acad Sci U S A       Date:  1988-10       Impact factor: 11.205

3.  Accessible surface areas as a measure of the thermodynamic parameters of hydration of peptides.

Authors:  T Ooi; M Oobatake; G Némethy; H A Scheraga
Journal:  Proc Natl Acad Sci U S A       Date:  1987-05       Impact factor: 11.205

4.  Efficient Monte Carlo method for simulation of fluctuating conformations of native proteins.

Authors:  T Noguti; N Go
Journal:  Biopolymers       Date:  1985-03       Impact factor: 2.505

5.  Structure of the hydrophobic protein crambin determined directly from the anomalous scattering of sulphur.

Authors:  Wayne A Hendrickson; Martha M Teeter
Journal:  Nature       Date:  1981-03-12       Impact factor: 49.962

6.  Solvent accessible surface area and excluded volume in proteins. Analytical equations for overlapping spheres and implications for the hydrophobic effect.

Authors:  T J Richmond
Journal:  J Mol Biol       Date:  1984-09-05       Impact factor: 5.469

7.  Computer simulation of the dynamics of hydrated protein crystals and its comparison with x-ray data.

Authors:  W F van Gunsteren; H J Berendsen; J Hermans; W G Hol; J P Postma
Journal:  Proc Natl Acad Sci U S A       Date:  1983-07       Impact factor: 11.205

8.  Water structure of a hydrophobic protein at atomic resolution: Pentagon rings of water molecules in crystals of crambin.

Authors:  M M Teeter
Journal:  Proc Natl Acad Sci U S A       Date:  1984-10       Impact factor: 11.205

9.  A comparison of the structure and dynamics of avian pancreatic polypeptide hormone in solution and in the crystal.

Authors:  P Krüger; W Strassburger; A Wollmer; W F van Gunsteren
Journal:  Eur Biophys J       Date:  1985       Impact factor: 1.733

10.  Protein dynamics in solution and in a crystalline environment: a molecular dynamics study.

Authors:  W F van Gunsteren; M Karplus
Journal:  Biochemistry       Date:  1982-05-11       Impact factor: 3.162

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