Literature DB >> 8054467

Computer simulation of the free energy of peptides with the local states method: analogues of gonadotropin releasing hormone in the random coil and stable states.

H Meirovitch1, S C Koerber, J E Rivier, A T Hagler.   

Abstract

The Helmholtz free energy F (rather than the energy) is the correct criterion for stability; therefore, calculation of F is important for peptides and proteins that can populate a large number of metastable states. The local states (LS) method proposed by H. Meirovitch [(1977) Chemical Physics Letters, Vol. 45, p. 389] enables one to obtain upper and lower bounds of the conformational free energy, FB (b,l) and FA (b,l), respectively, from molecular dynamics (MD) or Monte Carlo samples. The correlation parameter b is the number of consecutive dihedral or valence angles along the chain that are taken into account explicitly. The continuum angles are approximated by a discretization parameter l; the larger are b and l, the better the approximations; while FA can be estimated efficiently, it is more difficult to estimate FB. The method is further developed here by applying it to MD trajectories of a relatively large molecule (188 atoms), the potent "Asp4-Dpr10" antagonist [cyclo(4/10)-(Ac-delta 3Pro1-D-pFPhe2-D-Trp3-Asp4-Tyr5-D-Nal6-Leu7-Arg8 -Pro9- Dpr10-NH2)] of gonadotropin releasing hormone (GnRH). The molecule was simulated in vacuo at T = 300 K in two conformational states, previously investigated [J. Rizo et al. Journal of the American Chemical Society, (1992) Vol. 114, p. 2860], which differ by the orientation of the N-terminal tail, above (tail up, TU) and below (tail down, TD) the cyclic heptapeptide ring. As in previous applications of the LS method, we have found the following: (1) While FA is a crude approximation for the correct F, results for the difference, delta FA = FA (TD)-FA (TU) converge rapidly to 5.6 (1) kcal/mole as the approximation is improved (i.e., as b and l are increased), which suggests that this is the correct value for delta F; therefore TD is more stable than TU. (The corresponding difference in entropy, T delta SA = 1.3(2) kcal/mole, is equal to the value obtained by the harmonic approximation.) (2) The lowest approximation, which has the minimal number of local states, i.e., based on b = 0 (no correlations) and l = 1 (the angle values are distributed homogeneously), also leads to the correct value of delta F, within the error bars. This is important since the lowest approximation can be applied even to large proteins. (3) The method enables one to define the entropy of a part of the molecule and thus to measure the flexibility of this part.(ABSTRACT TRUNCATED AT 400 WORDS)

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Year:  1994        PMID: 8054467     DOI: 10.1002/bip.360340703

Source DB:  PubMed          Journal:  Biopolymers        ISSN: 0006-3525            Impact factor:   2.505


  11 in total

1.  Calculation of the entropy of random coil polymers with the hypothetical scanning Monte Carlo method.

Authors:  Ronald P White; Hagai Meirovitch
Journal:  J Chem Phys       Date:  2005-12-01       Impact factor: 3.488

2.  Calculation of the entropy and free energy from monte carlo simulations of a peptide stretched by an external force.

Authors:  Srinath Cheluvaraja; Hagai Meirovitch
Journal:  J Phys Chem B       Date:  2005-11-24       Impact factor: 2.991

3.  Optimization of the GB/SA solvation model for predicting the structure of surface loops in proteins.

Authors:  Agnieszka Szarecka; Hagai Meirovitch
Journal:  J Phys Chem B       Date:  2006-02-16       Impact factor: 2.991

4.  Knowledge-based entropies improve the identification of native protein structures.

Authors:  Kannan Sankar; Kejue Jia; Robert L Jernigan
Journal:  Proc Natl Acad Sci U S A       Date:  2017-03-06       Impact factor: 11.205

5.  Calculation of the Entropy of Lattice Polymer Models from Monte Carlo Trajectories.

Authors:  Ronald P White; Jason Funt; Hagai Meirovitch
Journal:  Chem Phys Lett       Date:  2005-07-20       Impact factor: 2.328

6.  Free volume hypothetical scanning molecular dynamics method for the absolute free energy of liquids.

Authors:  Ronald P White; Hagai Meirovitch
Journal:  J Chem Phys       Date:  2006-05-28       Impact factor: 3.488

Review 7.  Methods for calculating the entropy and free energy and their application to problems involving protein flexibility and ligand binding.

Authors:  Hagai Meirovitch; Srinath Cheluvaraja; Ronald P White
Journal:  Curr Protein Pept Sci       Date:  2009-06       Impact factor: 3.272

8.  A simulation method for calculating the absolute entropy and free energy of fluids: application to liquid argon and water.

Authors:  Ronald P White; Hagai Meirovitch
Journal:  Proc Natl Acad Sci U S A       Date:  2004-06-14       Impact factor: 11.205

9.  Entropy and free energy of a mobile protein loop in explicit water.

Authors:  Srinath Cheluvaraja; Mihail Mihailescu; Hagai Meirovitch
Journal:  J Phys Chem B       Date:  2008-07-10       Impact factor: 2.991

10.  Methods for calculating the absolute entropy and free energy of biological systems based on ideas from polymer physics.

Authors:  Hagai Meirovitch
Journal:  J Mol Recognit       Date:  2010 Mar-Apr       Impact factor: 2.137

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