Literature DB >> 8736494

Free energy calculations of the mutation of Ile96-->Ala in barnase: contributions to the difference in stability.

Y C Sun1, D L Veenstra, P A Kollman.   

Abstract

Free energy calculations were carried out to determine the relative unfolding free energy of the Ile96 wild type and Ala96 mutant barnases. The total calculated free energies suggest that substitution of Ile96 with Ala destabilizes barnase by 3.9 kcal/mol, which is in good agreement with the independently determined experimental values of 4.0 and 3.3 kcal/mol and a previous simulation. However, a decomposition of the free energy finds the dominant contributions to this free energy arising from the noncovalent interactions between the perturbed group and distant residues of barnase in the sequence and water molecules and only a very small contribution from covalent interactions. This is in contrast to the previous simulation, using the dual topology methodology, which produced a decomposition with an approximately 60% free energy contribution from changes in covalent interactions. The use of the single topology employed in the present calculations and the dual topology employed in the previous study are analyzed in order to understand the contrast between the present results and the results of the previous study.

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Year:  1996        PMID: 8736494     DOI: 10.1093/protein/9.3.273

Source DB:  PubMed          Journal:  Protein Eng        ISSN: 0269-2139


  10 in total

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2.  Effects of base substitutions in an RNA hairpin from molecular dynamics and free energy simulations.

Authors:  Joanna Sarzynska; Lennart Nilsson; Tadeusz Kulinski
Journal:  Biophys J       Date:  2003-12       Impact factor: 4.033

3.  Dependence of protein stability on the structure of the denatured state: free energy calculations of I56V mutation in human lysozyme.

Authors:  Y Sugita; A Kitao
Journal:  Biophys J       Date:  1998-11       Impact factor: 4.033

4.  A rational free energy-based approach to understanding and targeting disease-causing missense mutations.

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Journal:  J Am Med Inform Assoc       Date:  2013-02-13       Impact factor: 4.497

5.  The linear interaction energy method for the prediction of protein stability changes upon mutation.

Authors:  Lauren Wickstrom; Emilio Gallicchio; Ronald M Levy
Journal:  Proteins       Date:  2011-10-31

6.  Protein-protein recognition: an experimental and computational study of the R89K mutation in Raf and its effect on Ras binding.

Authors:  J Zeng; M Fridman; H Maruta; H R Treutlein; T Simonson
Journal:  Protein Sci       Date:  1999-01       Impact factor: 6.725

7.  Thermodynamic Cycle Without Turning Off Self-Interactions: Formal Discussion and a Numerical Example.

Authors:  Mauro L Mugnai; Ron Elber
Journal:  J Chem Theory Comput       Date:  2012-07-25       Impact factor: 6.006

8.  Predicting relative binding affinities of non-peptide HIV protease inhibitors with free energy perturbation calculations.

Authors:  M A McCarrick; P A Kollman
Journal:  J Comput Aided Mol Des       Date:  1999-03       Impact factor: 3.686

9.  Improving the Accuracy of Protein Thermostability Predictions for Single Point Mutations.

Authors:  Jianxin Duan; Dmitry Lupyan; Lingle Wang
Journal:  Biophys J       Date:  2020-05-29       Impact factor: 4.033

10.  Free energy simulations of amylin I26P mutation in a lipid bilayer.

Authors:  Seifollah Jalili; Afsaneh Maleki; Mojdeh Akhavan; Bijan Najafi; Jeremy Schofield
Journal:  Eur Biophys J       Date:  2014-11-27       Impact factor: 1.733

  10 in total

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