Literature DB >> 18655053

Some recommendations for the practitioner to improve the precision of experimentally determined protein folding rates and phi values.

Ingo Ruczinski1, Kevin W Plaxco.   

Abstract

The mechanism by which proteins fold from an initially random conformation into a functional, native structure remains a major unsolved question in molecular biology. Of particular interest to the protein folding community is the structure that the protein adopts in the folding transition state (the highest free energy state on the pathway from unfolded to folded), as that state forms the barrier that defines the folding pathway. Unfortunately, however, unlike those of the initial, unfolded state and the final, folded state of the protein, the structure in the transition state cannot be directly assessed via experiment. Instead, experimentalists infer the structure of the transition state, often by estimating changes in its free energy by measuring the effects of amino acid substitutions on folding and unfolding rates (Phi-value analysis). In this article we show how to obtain more efficient estimates of these important quantities via improved experimental designs, and how to avoid common pitfalls in the analysis of kinetic data during the extraction of these parameters. Copyright 2008 Wiley-Liss, Inc.

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Year:  2009        PMID: 18655053      PMCID: PMC2861052          DOI: 10.1002/prot.22155

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  13 in total

1.  Origin of unusual phi-values in protein folding: evidence against specific nucleation sites.

Authors:  Ignacio E Sánchez; Thomas Kiefhaber
Journal:  J Mol Biol       Date:  2003-12-12       Impact factor: 5.469

Review 2.  Using protein folding rates to test protein folding theories.

Authors:  Blake Gillespie; Kevin W Plaxco
Journal:  Annu Rev Biochem       Date:  2004       Impact factor: 23.643

3.  Phi-value analysis and the nature of protein-folding transition states.

Authors:  Alan R Fersht; Satoshi Sato
Journal:  Proc Natl Acad Sci U S A       Date:  2004-05-18       Impact factor: 11.205

4.  Protein folding: defining a "standard" set of experimental conditions and a preliminary kinetic data set of two-state proteins.

Authors:  Karen L Maxwell; David Wildes; Arash Zarrine-Afsar; Miguel A De Los Rios; Andrew G Brown; Claire T Friel; Linda Hedberg; Jia-Cherng Horng; Diane Bona; Erik J Miller; Alexis Vallée-Bélisle; Ewan R G Main; Francesco Bemporad; Linlin Qiu; Kaare Teilum; Ngoc-Diep Vu; Aled M Edwards; Ingo Ruczinski; Flemming M Poulsen; Birthe B Kragelund; Stephen W Michnick; Fabrizio Chiti; Yawen Bai; Stephen J Hagen; Luis Serrano; Mikael Oliveberg; Daniel P Raleigh; Pernilla Wittung-Stafshede; Sheena E Radford; Sophie E Jackson; Tobin R Sosnick; Susan Marqusee; Alan R Davidson; Kevin W Plaxco
Journal:  Protein Sci       Date:  2005-02-02       Impact factor: 6.725

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

Authors:  Giovanni Settanni; Francesco Rao; Amedeo Caflisch
Journal:  Proc Natl Acad Sci U S A       Date:  2005-01-11       Impact factor: 11.205

Review 6.  Non-linear rate-equilibrium free energy relationships and Hammond behavior in protein folding.

Authors:  Ignacio E Sánchez; Thomas Kiefhaber
Journal:  Biophys Chem       Date:  2003       Impact factor: 2.352

Review 7.  Time-resolved biophysical methods in the study of protein folding.

Authors:  K W Plaxco; C M Dobson
Journal:  Curr Opin Struct Biol       Date:  1996-10       Impact factor: 6.809

8.  Methods for the accurate estimation of confidence intervals on protein folding phi-values.

Authors:  Ingo Ruczinski; Tobin R Sosnick; Kevin W Plaxco
Journal:  Protein Sci       Date:  2006-10       Impact factor: 6.725

9.  The folding transition state of the cold shock protein is strongly polarized.

Authors:  Maria M Garcia-Mira; Daniel Boehringer; Franz X Schmid
Journal:  J Mol Biol       Date:  2004-06-04       Impact factor: 5.469

10.  Protein Folding Database (PFD 2.0): an online environment for the International Foldeomics Consortium.

Authors:  Kate F Fulton; Mark A Bate; Noel G Faux; Khalid Mahmood; Chris Betts; Ashley M Buckle
Journal:  Nucleic Acids Res       Date:  2006-12-14       Impact factor: 16.971

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  2 in total

1.  Statistical inference from multiple iTRAQ experiments without using common reference standards.

Authors:  Shelley M Herbrich; Robert N Cole; Keith P West; Kerry Schulze; James D Yager; John D Groopman; Parul Christian; Lee Wu; Robert N O'Meally; Damon H May; Martin W McIntosh; Ingo Ruczinski
Journal:  J Proteome Res       Date:  2013-01-16       Impact factor: 4.466

2.  High-Resolution Mapping of the Folding Transition State of a WW Domain.

Authors:  Kapil Dave; Marcus Jäger; Houbi Nguyen; Jeffery W Kelly; Martin Gruebele
Journal:  J Mol Biol       Date:  2016-02-12       Impact factor: 5.469

  2 in total

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