Literature DB >> 16784750

Phi-analysis at the experimental limits: mechanism of beta-hairpin formation.

Miriana Petrovich1, Amanda L Jonsson, Neil Ferguson, Valerie Daggett, Alan R Fersht.   

Abstract

The 37-residue Formin-binding protein, FBP28, is a canonical three-stranded beta-sheet WW domain. Because of its small size, it is so insensitive to chemical denaturation that it is barely possible to determine accurately a denaturation curve, as the transition spans 0-7 M guanidinium hydrochloride (GdmCl). It is also only marginally stable, with a free energy of denaturation of just 2.3 kcal/mol at 10 degrees Celsius so only small changes in energy upon mutation can be tolerated. But these properties and relaxation times for folding of 25 micros-400 micros conspire to allow the rapid acquisition of accurate and reproducible kinetic data for Phi-analysis using classical temperature-jump methods. The transition state for folding is highly polarized with some regions having Phi-values of 0 and others 1, as readily seen in chevron plots, with Phi-values of 0 having the refolding arms overlaying and those of 1 the unfolding arms superimposable. Good agreement is seen with transition state structures identified from independent molecular dynamics (MD) simulations at 60, 75, and 100 degrees Celsius, which allows us to explore further the details of the folding and unfolding pathway of FBP28. The first beta-turn is near native-like in the transition state for folding (experimental) and unfolding (MD and experiment). The simulations show that there are transient contacts between the aromatic side-chains of the beta-strands in the denatured state and that these interactions provide the driving force for folding of the first beta-hairpin of this three-stranded sheet. Only after the backbone hydrogen bonds are formed between beta1 and beta2 does a hydrogen bond form to stabilize the intervening turn, or the first beta-turn.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16784750     DOI: 10.1016/j.jmb.2006.05.050

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  57 in total

1.  The mechanism of antiparallel β-sheet formation based on conditioned self-avoiding walk.

Authors:  Boon Chong Goh; Hon Wai Leong; Xiaohui Qu; Lock Yue Chew
Journal:  Eur Phys J E Soft Matter       Date:  2012-04-18       Impact factor: 1.890

2.  Protein beta-sheet nucleation is driven by local modular formation.

Authors:  Brent Wathen; Zongchao Jia
Journal:  J Biol Chem       Date:  2010-04-10       Impact factor: 5.157

3.  A comprehensive multidimensional-embedded, one-dimensional reaction coordinate for protein unfolding/folding.

Authors:  Rudesh D Toofanny; Amanda L Jonsson; Valerie Daggett
Journal:  Biophys J       Date:  2010-06-02       Impact factor: 4.033

Review 4.  Protein folds and protein folding.

Authors:  R Dustin Schaeffer; Valerie Daggett
Journal:  Protein Eng Des Sel       Date:  2010-11-03       Impact factor: 1.650

5.  Preventing fibril formation of a protein by selective mutation.

Authors:  Gia G Maisuradze; Jordi Medina; Khatuna Kachlishvili; Pawel Krupa; Magdalena A Mozolewska; Pau Martin-Malpartida; Luka Maisuradze; Maria J Macias; Harold A Scheraga
Journal:  Proc Natl Acad Sci U S A       Date:  2015-10-19       Impact factor: 11.205

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.  Protein folding kinetics: barrier effects in chemical and thermal denaturation experiments.

Authors:  Athi N Naganathan; Urmi Doshi; Victor Muñoz
Journal:  J Am Chem Soc       Date:  2007-04-10       Impact factor: 15.419

Review 8.  Roles of beta-turns in protein folding: from peptide models to protein engineering.

Authors:  Anna Marie C Marcelino; Lila M Gierasch
Journal:  Biopolymers       Date:  2008-05       Impact factor: 2.505

9.  Dynamics of an ultrafast folding subdomain in the context of a larger protein fold.

Authors:  Caitlin M Davis; R Brian Dyer
Journal:  J Am Chem Soc       Date:  2013-12-13       Impact factor: 15.419

10.  Linking time-series of single-molecule experiments with molecular dynamics simulations by machine learning.

Authors:  Yasuhiro Matsunaga; Yuji Sugita
Journal:  Elife       Date:  2018-05-03       Impact factor: 8.140

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.