Literature DB >> 15644439

Phi-value analysis by molecular dynamics simulations of reversible folding.

Giovanni Settanni1, Francesco Rao, Amedeo Caflisch.   

Abstract

In Phi-value analysis, the effects of mutations on the folding kinetics are compared with the corresponding effects on thermodynamic stability to investigate the structure of the protein-folding transition state (TS). Here, molecular dynamics (MD) simulations (totaling 0.65 ms) have been performed for a large set of single-point mutants of a 20-residue three-stranded antiparallel beta-sheet peptide. Between 57 and 120 folding events were sampled at near equilibrium for each mutant, allowing for accurate estimates of folding/unfolding rates and stability changes. The Phi values calculated from folding and unfolding rates extracted from the MD trajectories are reliable if the stability loss upon mutation is larger than approximately 0.6 kcal/mol, which is observed for 8 of the 32 single-point mutants. The same heterogeneity of the TS of the wild type was found in the mutated peptides, showing two possible pathways for folding. Single-point mutations can induce significant TS shifts not always detected by Phi-value analysis. Specific nonnative interactions at the TS were observed in most of the peptides studied here. The interpretation of Phi values based on the ratio of atomic contacts at the TS over the native state, which has been used in the past in MD and Monte Carlo simulations, is in agreement with the TS structures of wild-type peptide. However, Phi values tend to overestimate the nativeness of the TS ensemble, when interpreted neglecting the nonnative interactions.

Mesh:

Year:  2005        PMID: 15644439      PMCID: PMC545520          DOI: 10.1073/pnas.0406754102

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  32 in total

1.  Native topology or specific interactions: what is more important for protein folding?

Authors:  P Ferrara; A Caflisch
Journal:  J Mol Biol       Date:  2001-03-02       Impact factor: 5.469

2.  Three key residues form a critical contact network in a protein folding transition state.

Authors:  M Vendruscolo; E Paci; C M Dobson; M Karplus
Journal:  Nature       Date:  2001-02-01       Impact factor: 49.962

Review 3.  Fast kinetics and mechanisms in protein folding.

Authors:  W A Eaton; V Muñoz; S J Hagen; G S Jas; L J Lapidus; E R Henry; J Hofrichter
Journal:  Annu Rev Biophys Biomol Struct       Date:  2000

4.  Evaluation of a fast implicit solvent model for molecular dynamics simulations.

Authors:  Philippe Ferrara; Joannis Apostolakis; Amedeo Caflisch
Journal:  Proteins       Date:  2002-01-01

5.  Molecular dynamics simulations of protein folding from the transition state.

Authors:  Jörg Gsponer; Amedeo Caflisch
Journal:  Proc Natl Acad Sci U S A       Date:  2002-04-30       Impact factor: 11.205

6.  Computer-based redesign of a protein folding pathway.

Authors:  S Nauli; B Kuhlman; D Baker
Journal:  Nat Struct Biol       Date:  2001-07

7.  Constructing, verifying, and dissecting the folding transition state of chymotrypsin inhibitor 2 with all-atom simulations.

Authors:  L Li; E I Shakhnovich
Journal:  Proc Natl Acad Sci U S A       Date:  2001-10-23       Impact factor: 11.205

8.  Weak temperature dependence of the free energy surface and folding pathways of structured peptides.

Authors:  Andrea Cavalli; Philippe Ferrara; Amedeo Caflisch
Journal:  Proteins       Date:  2002-05-15

9.  The ensemble folding kinetics of protein G from an all-atom Monte Carlo simulation.

Authors:  Jun Shimada; Eugene I Shakhnovich
Journal:  Proc Natl Acad Sci U S A       Date:  2002-08-06       Impact factor: 11.205

10.  De novo design of a monomeric three-stranded antiparallel beta-sheet.

Authors:  E de Alba; J Santoro; M Rico; M A Jiménez
Journal:  Protein Sci       Date:  1999-04       Impact factor: 6.725

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  26 in total

1.  Role of structural determinants in folding of the sandwich-like protein Pseudomonas aeruginosa azurin.

Authors:  Corey J Wilson; Pernilla Wittung-Stafshede
Journal:  Proc Natl Acad Sci U S A       Date:  2005-03-07       Impact factor: 11.205

2.  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

3.  Testing simplified proteins models of the hPin1 WW domain.

Authors:  Fabio Cecconi; Carlo Guardiani; Roberto Livi
Journal:  Biophys J       Date:  2006-04-28       Impact factor: 4.033

4.  P versus Q: structural reaction coordinates capture protein folding on smooth landscapes.

Authors:  Samuel S Cho; Yaakov Levy; Peter G Wolynes
Journal:  Proc Natl Acad Sci U S A       Date:  2006-01-09       Impact factor: 11.205

Review 5.  Protein folding thermodynamics and dynamics: where physics, chemistry, and biology meet.

Authors:  Eugene Shakhnovich
Journal:  Chem Rev       Date:  2006-05       Impact factor: 60.622

6.  Transition states in protein folding kinetics: modeling phi-values of small beta-sheet proteins.

Authors:  Thomas R Weikl
Journal:  Biophys J       Date:  2007-09-28       Impact factor: 4.033

7.  An error analysis for two-state protein-folding kinetic parameters and phi-values: progress toward precision by exploring pH dependencies on Leffler plots.

Authors:  Eva S Cobos; Adela M Candel; Jose C Martinez
Journal:  Biophys J       Date:  2008-01-25       Impact factor: 4.033

Review 8.  CHARMM: the biomolecular simulation program.

Authors:  B R Brooks; C L Brooks; A D Mackerell; L Nilsson; R J Petrella; B Roux; Y Won; G Archontis; C Bartels; S Boresch; A Caflisch; L Caves; Q Cui; A R Dinner; M Feig; S Fischer; J Gao; M Hodoscek; W Im; K Kuczera; T Lazaridis; J Ma; V Ovchinnikov; E Paci; R W Pastor; C B Post; J Z Pu; M Schaefer; B Tidor; R M Venable; H L Woodcock; X Wu; W Yang; D M York; M Karplus
Journal:  J Comput Chem       Date:  2009-07-30       Impact factor: 3.376

9.  How does a simplified-sequence protein fold?

Authors:  Enrico Guarnera; Riccardo Pellarin; Amedeo Caflisch
Journal:  Biophys J       Date:  2009-09-16       Impact factor: 4.033

10.  High temperature unfolding simulations of the TRPZ1 peptide.

Authors:  Giovanni Settanni; Alan R Fersht
Journal:  Biophys J       Date:  2008-02-15       Impact factor: 4.033

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