Literature DB >> 18700740

Simple physics-based analytical formulas for the potentials of mean force for the interaction of amino acid side chains in water. IV. Pairs of different hydrophobic side chains.

Mariusz Makowski1, Emil Sobolewski, Cezary Czaplewski, Stanisław Ołdziej, Adam Liwo, Harold A Scheraga.   

Abstract

The potentials of mean force of 21 heterodimers of the molecules modeling hydrophobic amino acid side chains: ethane (for alanine), propane (for proline), isobutane (for valine), isopentane (for leucine and isoleucine), ethylbenzene (for phenylalanine), methyl propyl sulfide (for methionine), and indole (for tryptophane) were determined by umbrella-sampling molecular dynamics simulations in explicit water as functions of distance and orientation. Analytical expressions consisting of the Gay-Berne term to represent effective van der Waals interactions and the cavity term proposed in our earlier work were fitted to the potentials of mean force. The positions and depths of the contact minima and the positions and heights of the desolvation maxima, including their dependence on the orientation of the molecules, are well represented by the analytical expressions for all systems; large deviations between the MD-determined PMF and the analytical approximations are observed for pairs involving the least spheroidal solutes: ethylbenzene, indole, and methyl propyl sulfide at short distances at which the PMF is high and, consequently, these regions are rarely visited. When data from the PMF within only 10 kcal/mol above the global minimum are considered, the standard deviation between the MD-determined and the fitted PMF is from 0.25 to 0.55 kcal/mol (the relative standard deviation being from 4% to 8%); it is larger for pairs involving nonspherical solute molecules. The free energies of contact computed from the PMF surfaces are well correlated with those determined from protein-crystal data with a slope close to that relating the free energies of transfer of amino acids (from water to n-octanol) to the average contact free energies determined from protein-crystal data. These observations justify future use of the determined potentials in coarse-grained protein-folding simulations.

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Year:  2008        PMID: 18700740      PMCID: PMC2761002          DOI: 10.1021/jp803896b

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  7 in total

1.  Calculation of protein conformation by global optimization of a potential energy function.

Authors:  J Lee; A Liwo; D R Ripoll; J Pillardy; H A Scheraga
Journal:  Proteins       Date:  1999

2.  Protein structure prediction by global optimization of a potential energy function.

Authors:  A Liwo; J Lee; D R Ripoll; J Pillardy; H A Scheraga
Journal:  Proc Natl Acad Sci U S A       Date:  1999-05-11       Impact factor: 11.205

3.  Molecular dynamics with the united-residue model of polypeptide chains. I. Lagrange equations of motion and tests of numerical stability in the microcanonical mode.

Authors:  Mey Khalili; Adam Liwo; Franciszek Rakowski; Paweł Grochowski; Harold A Scheraga
Journal:  J Phys Chem B       Date:  2005-07-21       Impact factor: 2.991

4.  Simple physics-based analytical formulas for the potentials of mean force for the interaction of amino acid side chains in water. 2. Tests with simple spherical systems.

Authors:  Mariusz Makowski; Adam Liwo; Katarzyna Maksimiak; Joanna Makowska; Harold A Scheraga
Journal:  J Phys Chem B       Date:  2007-02-27       Impact factor: 2.991

5.  Simple physics-based analytical formulas for the potentials of mean force for the interaction of amino acid side chains in water. 3. Calculation and parameterization of the potentials of mean force of pairs of identical hydrophobic side chains.

Authors:  Mariusz Makowski; Emil Sobolewski; Cezary Czaplewski; Adam Liwo; Stanisław Ołdziej; Joo Hwan No; Harold A Scheraga
Journal:  J Phys Chem B       Date:  2007-02-27       Impact factor: 2.991

6.  Simple physics-based analytical formulas for the potentials of mean force for the interaction of amino acid side chains in water. 1. Approximate expression for the free energy of hydrophobic association based on a Gaussian-overlap model.

Authors:  Mariusz Makowski; Adam Liwo; Harold A Scheraga
Journal:  J Phys Chem B       Date:  2007-02-27       Impact factor: 2.991

7.  Calculation of protein backbone geometry from alpha-carbon coordinates based on peptide-group dipole alignment.

Authors:  A Liwo; M R Pincus; R J Wawak; S Rackovsky; H A Scheraga
Journal:  Protein Sci       Date:  1993-10       Impact factor: 6.725

  7 in total
  20 in total

1.  The power of hard-sphere models: explaining side-chain dihedral angle distributions of Thr and Val.

Authors:  Alice Qinhua Zhou; Corey S O'Hern; Lynne Regan
Journal:  Biophys J       Date:  2012-05-15       Impact factor: 4.033

2.  Lessons from application of the UNRES force field to predictions of structures of CASP10 targets.

Authors:  Yi He; Magdalena A Mozolewska; Pawel Krupa; Adam K Sieradzan; Tomasz K Wirecki; Adam Liwo; Khatuna Kachlishvili; Shalom Rackovsky; Dawid Jagiela; Rafał Ślusarz; Cezary R Czaplewski; Stanisław Ołdziej; Harold A Scheraga
Journal:  Proc Natl Acad Sci U S A       Date:  2013-08-26       Impact factor: 11.205

3.  Towards temperature-dependent coarse-grained potentials of side-chain interactions for protein folding simulations. I: molecular dynamics study of a pair of methane molecules in water at various temperatures.

Authors:  Emil Sobolewski; Mariusz Makowski; Stanislaw Oldziej; Cezary Czaplewski; Adam Liwo; Harold A Scheraga
Journal:  Protein Eng Des Sel       Date:  2009-06-25       Impact factor: 1.650

4.  Toward temperature-dependent coarse-grained potentials of side-chain interactions for protein folding simulations. II. Molecular dynamics study of pairs of different types of interactions in water at various temperatures.

Authors:  Emil Sobolewski; Stanisław Ołdziej; Marta Wiśniewska; Adam Liwo; Mariusz Makowski
Journal:  J Phys Chem B       Date:  2012-04-16       Impact factor: 2.991

5.  Comparative roles of charge, π, and hydrophobic interactions in sequence-dependent phase separation of intrinsically disordered proteins.

Authors:  Suman Das; Yi-Hsuan Lin; Robert M Vernon; Julie D Forman-Kay; Hue Sun Chan
Journal:  Proc Natl Acad Sci U S A       Date:  2020-11-02       Impact factor: 11.205

6.  Simple Physics-Based Analytical Formulas for the Potentials of Mean Force of the Interaction of Amino Acid Side Chains in Water. VII. Charged-Hydrophobic/Polar and Polar-Hydrophobic/Polar Side Chains.

Authors:  Mariusz Makowski; Adam Liwo; Harold A Scheraga
Journal:  J Phys Chem B       Date:  2017-01-05       Impact factor: 2.991

7.  Explicit orientation dependence in empirical potentials and its significance to side-chain modeling.

Authors:  Jianpeng Ma
Journal:  Acc Chem Res       Date:  2009-08-18       Impact factor: 22.384

8.  Multiscale coarse-graining of the protein energy landscape.

Authors:  Ronald D Hills; Lanyuan Lu; Gregory A Voth
Journal:  PLoS Comput Biol       Date:  2010-06-24       Impact factor: 4.475

9.  Determination of side-chain-rotamer and side-chain and backbone virtual-bond-stretching potentials of mean force from AM1 energy surfaces of terminally-blocked amino-acid residues, for coarse-grained simulations of protein structure and folding. I. The method.

Authors:  Urszula Kozłowska; Adam Liwo; Harold A Scheraga
Journal:  J Comput Chem       Date:  2010-04-30       Impact factor: 3.376

Review 10.  Insights from coarse-grained Gō models for protein folding and dynamics.

Authors:  Ronald D Hills; Charles L Brooks
Journal:  Int J Mol Sci       Date:  2009-03-02       Impact factor: 6.208

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