Literature DB >> 12662937

Local secondary structure content predicts folding rates for simple, two-state proteins.

Haipeng Gong1, Daniel G Isom, Rajgopal Srinivasan, George D Rose.   

Abstract

Many single-domain proteins exhibit two-state folding kinetics, with folding rates that span more than six orders of magnitude. A quantity of much recent interest for such proteins is their contact order, the average separation in sequence between contacting residue pairs. Numerous studies have reached the surprising conclusion that contact order is well-correlated with the logarithm of the folding rate for these small, well-characterized molecules. Here, we investigate the physico-chemical basis for this finding by asking whether contact order is actually a composite number that measures the fraction of local secondary structure in the protein; viz. turns, helices, and hairpins. To pursue this question, we calculated the secondary structure content for 24 two-state proteins and obtained coefficients that predict their folding rates. The predicted rates correlate strongly with experimentally determined rates, comparable to the correlation with contact order. Further, these predicted folding rates are correlated strongly with contact order. Our results suggest that the folding rate of two-state proteins is a function of their local secondary structure content, consistent with the hierarchic model of protein folding. Accordingly, it should be possible to utilize secondary structure prediction methods to predict folding rates from sequence alone.

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Year:  2003        PMID: 12662937     DOI: 10.1016/s0022-2836(03)00211-0

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


  26 in total

1.  Prediction of protein folding rates from the amino acid sequence-predicted secondary structure.

Authors:  Dmitry N Ivankov; Alexei V Finkelstein
Journal:  Proc Natl Acad Sci U S A       Date:  2004-06-07       Impact factor: 11.205

2.  Critical nucleation size in the folding of small apparently two-state proteins.

Authors:  Yawen Bai; Hongyi Zhou; Yaoqi Zhou
Journal:  Protein Sci       Date:  2004-04-09       Impact factor: 6.725

3.  A critical assessment of the topomer search model of protein folding using a continuum explicit-chain model with extensive conformational sampling.

Authors:  Stefan Wallin; Hue Sun Chan
Journal:  Protein Sci       Date:  2005-06       Impact factor: 6.725

Review 4.  Protein folding thermodynamics and dynamics: where physics, chemistry, and biology meet.

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

Review 5.  A backbone-based theory of protein folding.

Authors:  George D Rose; Patrick J Fleming; Jayanth R Banavar; Amos Maritan
Journal:  Proc Natl Acad Sci U S A       Date:  2006-10-30       Impact factor: 11.205

6.  On the role of structural class of a protein with two-state folding kinetics in determining correlations between its size, topology, and folding rate.

Authors:  Andrei Y Istomin; Donald J Jacobs; Dennis R Livesay
Journal:  Protein Sci       Date:  2007-11       Impact factor: 6.725

7.  The role of protein homochirality in shaping the energy landscape of folding.

Authors:  Vikas Nanda; Aina Andrianarijaona; Chitra Narayanan
Journal:  Protein Sci       Date:  2007-06-28       Impact factor: 6.725

8.  Communication between RNA folding domains revealed by folding of circularly permuted ribozymes.

Authors:  Richard A Lease; Tadepalli Adilakshmi; Susan Heilman-Miller; Sarah A Woodson
Journal:  J Mol Biol       Date:  2007-07-12       Impact factor: 5.469

9.  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

10.  Macromolecular crowding induces polypeptide compaction and decreases folding cooperativity.

Authors:  Douglas Tsao; Nikolay V Dokholyan
Journal:  Phys Chem Chem Phys       Date:  2010-04-14       Impact factor: 3.676

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