Literature DB >> 16873473

Modelling sequential protein folding under kinetic control.

Fabien P E Huard1, Charlotte M Deane, Graham R Wood.   

Abstract

MOTIVATION: This study presents a novel investigation of the effect of kinetic control on cotranslational protein folding. We demonstrate the effect using simple HP lattice models and show that the cotranslational folding of proteins under kinetic control has a significant impact on the final conformation. Differences arise if nature is not capable of pushing a partially folded protein back over a large energy barrier. For this reason we argue that such constraints should be incorporated into structure prediction techniques. We introduce a finite surmountable energy barrier which allows partially formed chains to partly unfold, and permits us to enumerate exhaustively all energy pathways.
RESULTS: We compare the ground states obtained sequentially with the global ground states of designing sequences (those with a unique global ground state). We find that the sequential ground states become less numerous and more compact as the surmountable energy barrier increases. We also introduce a probabilistic model to describe the distribution of final folds and allow partial settling to the Boltzmann distribution of states at each stage. As a result, conformations with the highest probability of final occurrence are not necessarily the ones of lowest energy. AVAILABILITY: Software available on request.

Mesh:

Substances:

Year:  2006        PMID: 16873473     DOI: 10.1093/bioinformatics/btl248

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  8 in total

1.  Classifying proteinlike sequences in arbitrary lattice protein models using LatPack.

Authors:  Martin Mann; Daniel Maticzka; Rhodri Saunders; Rolf Backofen
Journal:  HFSP J       Date:  2008-11-26

2.  CPSP-web-tools: a server for 3D lattice protein studies.

Authors:  Martin Mann; Cameron Smith; Mohamad Rabbath; Marlien Edwards; Sebastian Will; Rolf Backofen
Journal:  Bioinformatics       Date:  2009-01-16       Impact factor: 6.937

3.  Directionality in protein fold prediction.

Authors:  Jonathan J Ellis; Fabien P E Huard; Charlotte M Deane; Sheenal Srivastava; Graham R Wood
Journal:  BMC Bioinformatics       Date:  2010-04-07       Impact factor: 3.169

Review 4.  Synonymous mutations and ribosome stalling can lead to altered folding pathways and distinct minima.

Authors:  Chung-Jung Tsai; Zuben E Sauna; Chava Kimchi-Sarfaty; Suresh V Ambudkar; Michael M Gottesman; Ruth Nussinov
Journal:  J Mol Biol       Date:  2008-08-12       Impact factor: 5.469

5.  Producing high-accuracy lattice models from protein atomic coordinates including side chains.

Authors:  Martin Mann; Rhodri Saunders; Cameron Smith; Rolf Backofen; Charlotte M Deane
Journal:  Adv Bioinformatics       Date:  2012-08-15

6.  Enhancing co-translational folding of heterologous protein by deleting non-essential ribosomal proteins in Pichia pastoris.

Authors:  Xihao Liao; Jing Zhao; Shuli Liang; Jingjie Jin; Cheng Li; Ruiming Xiao; Lu Li; Meijin Guo; Gong Zhang; Ying Lin
Journal:  Biotechnol Biofuels       Date:  2019-02-21       Impact factor: 6.040

7.  CPSP-tools--exact and complete algorithms for high-throughput 3D lattice protein studies.

Authors:  Martin Mann; Sebastian Will; Rolf Backofen
Journal:  BMC Bioinformatics       Date:  2008-05-07       Impact factor: 3.169

Review 8.  The genetic code as expressed through relationships between mRNA structure and protein function.

Authors:  David M Mauger; Nathan A Siegfried; Kevin M Weeks
Journal:  FEBS Lett       Date:  2013-03-13       Impact factor: 4.124

  8 in total

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