Literature DB >> 11258883

Direct comparison of experimental and calculated folding free energies for hydrophobic deletion mutants of chymotrypsin inhibitor 2: free energy perturbation calculations using transition and denatured states from molecular dynamics simulations of unfolding.

Y Pan1, V Daggett.   

Abstract

Previous molecular dynamics (MD) simulations of thermal denaturation of chymotrypsin inhibitor 2 (CI2) have provided transition-state models in good agreement with experiment. Unfortunately, however, the comparisons have been necessarily indirect. The simulations have provided detailed structural information but not energetics, while from experiment, structure is inferred from a ratio of free energy changes upon mutation (Phi values). Here, direct comparison with experimental free energies is obtained by performing free energy perturbation calculations of hydrophobic deletion mutants of CI2 using transition- and denatured-state structures from various denaturation MD simulations. The agreement between the calculated and experimental DeltaDeltaG and Phi values is quite good (R = 0.8-0.9). In addition, given the availability of realistic atomic models for the denatured protein, the common approach of using small peptides to represent the denatured state in stability calculations can now be evaluated. To this end, two different extended tripeptide models were used: one using the sequence from the protein with the residue to be mutated in the center and the other with this residue surrounded by Ala residues. The results for the two peptides agree neither with one another nor with the different full-length denatured-state models, which do provide results in good agreement with experiment. This finding is noteworthy because the denatured state of CI2 is very disrupted with little residual structure, such that the peptides might have been expected to serve as reasonable models. Overall the calculations presented here validate our previous MD-generated transition- and denatured-state models and therefore the simulated unfolding pathways and their relevance to refolding.

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Year:  2001        PMID: 11258883     DOI: 10.1021/bi0022036

Source DB:  PubMed          Journal:  Biochemistry        ISSN: 0006-2960            Impact factor:   3.162


  11 in total

1.  Protein folding mediated by solvation: water expulsion and formation of the hydrophobic core occur after the structural collapse.

Authors:  Margaret S Cheung; Angel E García; José N Onuchic
Journal:  Proc Natl Acad Sci U S A       Date:  2002-01-22       Impact factor: 11.205

2.  Calculation of mutational free energy changes in transition states for protein folding.

Authors:  Kresten Lindorff-Larsen; Emanuele Paci; Luis Serrano; Christopher M Dobson; Michele Vendruscolo
Journal:  Biophys J       Date:  2003-08       Impact factor: 4.033

3.  Molecular dynamics simulation of protein folding by essential dynamics sampling: folding landscape of horse heart cytochrome c.

Authors:  Isabella Daidone; Andrea Amadei; Danilo Roccatano; Alfredo Di Nola
Journal:  Biophys J       Date:  2003-11       Impact factor: 4.033

4.  Sensitivity of the folding/unfolding transition state ensemble of chymotrypsin inhibitor 2 to changes in temperature and solvent.

Authors:  Ryan Day; Valerie Daggett
Journal:  Protein Sci       Date:  2005-05       Impact factor: 6.725

5.  Ensemble versus single-molecule protein unfolding.

Authors:  Ryan Day; Valerie Daggett
Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-09       Impact factor: 11.205

6.  Direct observation of microscopic reversibility in single-molecule protein folding.

Authors:  Ryan Day; Valerie Daggett
Journal:  J Mol Biol       Date:  2006-11-15       Impact factor: 5.469

7.  The fast-folding HP35 double mutant has a substantially reduced primary folding free energy barrier.

Authors:  Hongxing Lei; Xiaojian Deng; Zhixiang Wang; Yong Duan
Journal:  J Chem Phys       Date:  2008-10-21       Impact factor: 3.488

8.  Probing the protein-folding mechanism using denaturant and temperature effects on rate constants.

Authors:  Emily J Guinn; Wayne S Kontur; Oleg V Tsodikov; Irina Shkel; M Thomas Record
Journal:  Proc Natl Acad Sci U S A       Date:  2013-09-16       Impact factor: 11.205

9.  Prediction of optimal folding routes of proteins that satisfy the principle of lowest entropy loss: dynamic contact maps and optimal control.

Authors:  Yaman Arkun; Burak Erman
Journal:  PLoS One       Date:  2010-10-12       Impact factor: 3.240

Review 10.  Using simulations to provide the framework for experimental protein folding studies.

Authors:  Bruno Rizzuti; Valerie Daggett
Journal:  Arch Biochem Biophys       Date:  2012-12-22       Impact factor: 4.013

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