Literature DB >> 19135974

Predicting protein folding cores by empirical potential functions.

Mingzhi Chen1, Athanasios D Dousis, Yinghao Wu, Pernilla Wittung-Stafshede, Jianpeng Ma.   

Abstract

Theoretical and in vitro experiments suggest that protein folding cores form early in the process of folding, and that proteins may have evolved to optimize both folding speed and native-state stability. In our previous work (Chen et al., Structure, 14 (2006) 1401), we developed a set of empirical potential functions and used them to analyze interaction energies among secondary-structure elements in two beta-sandwich proteins. Our work on this group of proteins demonstrated that the predicted folding core also harbors residues that form native-like interactions early in the folding reaction. In the current work, we have tested our empirical potential functions on structurally-different proteins for which the folding cores have been revealed by protein hydrogen-deuterium exchange experiments. Using a set of 29 unrelated proteins, which have been extensively studied in the literature, we demonstrate that the average prediction result from our method is significantly better than predictions based on other computational methods. Our study is an important step towards the ultimate goal of understanding the correlation between folding cores and native structures.

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Year:  2008        PMID: 19135974      PMCID: PMC2682698          DOI: 10.1016/j.abb.2008.12.011

Source DB:  PubMed          Journal:  Arch Biochem Biophys        ISSN: 0003-9861            Impact factor:   4.013


  53 in total

Review 1.  The hydrogen exchange core and protein folding.

Authors:  R Li; C Woodward
Journal:  Protein Sci       Date:  1999-08       Impact factor: 6.725

2.  Folding rates and low-entropy-loss routes of two-state proteins.

Authors:  Thomas R Weikl; Ken A Dill
Journal:  J Mol Biol       Date:  2003-06-06       Impact factor: 5.469

3.  Explicit-chain model of native-state hydrogen exchange: implications for event ordering and cooperativity in protein folding.

Authors:  Hüseyin Kaya; Hue Sun Chan
Journal:  Proteins       Date:  2005-01-01

4.  A survey of flexible protein binding mechanisms and their transition states using native topology based energy landscapes.

Authors:  Yaakov Levy; Samuel S Cho; José N Onuchic; Peter G Wolynes
Journal:  J Mol Biol       Date:  2005-01-26       Impact factor: 5.469

5.  Computation of conformational entropy from protein sequences using the machine-learning method--application to the study of the relationship between structural conservation and local structural stability.

Authors:  Shao-Wei Huang; Jenn-Kang Hwang
Journal:  Proteins       Date:  2005-06-01

6.  Ubiquitin folds through a highly polarized transition state.

Authors:  Heather M Went; Sophie E Jackson
Journal:  Protein Eng Des Sel       Date:  2005-04-27       Impact factor: 1.650

7.  Search for folding nuclei in native protein structures.

Authors:  Alena Shmygelska
Journal:  Bioinformatics       Date:  2005-06       Impact factor: 6.937

8.  Defining protein ensembles with native-state NH exchange: kinetics of interconversion and cooperative units from combined NMR and MS analysis.

Authors:  C B Arrington; L M Teesch; A D Robertson
Journal:  J Mol Biol       Date:  1999-01-22       Impact factor: 5.469

9.  Identification of kinetically hot residues in proteins.

Authors:  M C Demirel; A R Atilgan; R L Jernigan; B Erman; I Bahar
Journal:  Protein Sci       Date:  1998-12       Impact factor: 6.725

10.  Correlation between native-state hydrogen exchange and cooperative residue fluctuations from a simple model.

Authors:  I Bahar; A Wallqvist; D G Covell; R L Jernigan
Journal:  Biochemistry       Date:  1998-01-27       Impact factor: 3.162

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  3 in total

1.  Fold and flexibility: what can proteins' mechanical properties tell us about their folding nucleus?

Authors:  Sophie Sacquin-Mora
Journal:  J R Soc Interface       Date:  2015-11-06       Impact factor: 4.118

2.  Principal component analysis of binding energies for single-point mutants of hT2R16 bound to an agonist correlate with experimental mutant cell response.

Authors:  Derek E Chen; Darryl L Willick; Joseph B Ruckel; Wely B Floriano
Journal:  J Comput Biol       Date:  2015-01       Impact factor: 1.479

Review 3.  Human allelic variation: perspective from protein function, structure, and evolution.

Authors:  Daniel M Jordan; Vasily E Ramensky; Shamil R Sunyaev
Journal:  Curr Opin Struct Biol       Date:  2010-06       Impact factor: 6.809

  3 in total

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