Comprehensive analysis of sequences of a protein switch

Switches form a special class of proteins that dramatically change their three‐dimensional structures upon a small perturbation. One possible perturbation that we explore is that of a single point mutation. Building on the pioneering experimental work of Alexander et al. (Alexander et al. PNAS, 2007...

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Published inProtein science Vol. 25; no. 1; pp. 135 - 146
Main Authors Chen, Szu‐Hua, Meller, Jaroslaw, Elber, Ron
Format Journal Article
LanguageEnglish
Published United States Wiley Subscription Services, Inc 01.01.2016
John Wiley and Sons Inc
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Abstract Switches form a special class of proteins that dramatically change their three‐dimensional structures upon a small perturbation. One possible perturbation that we explore is that of a single point mutation. Building on the pioneering experimental work of Alexander et al. (Alexander et al. PNAS, 2007; 104,11963–11968) that determines switch sequences between α and α+β folds we conduct a comprehensive sequence sampling by a Markov Chain with multiple fitness criteria to identify new switches given the experimental folds. We screen for switch sequences using a combination of contact potential, secondary structure prediction, and finally molecular dynamics simulations. Statistical properties of switch sequences are discussed and illustrated to be most sensitive to mutation at the N‐ and C‐ termini of the switch protein. Based on this analysis, a particularly stable putative switch pair is identified and proposed for further experimental analysis.
AbstractList Switches form a special class of proteins that dramatically change their three-dimensional structures upon a small perturbation. One possible perturbation that we explore is that of a single point mutation. Building on the pioneering experimental work of Alexander et al. (Alexander et al. PNAS, 2007; 104,11963-11968) that determines switch sequences between α and α+β folds we conduct a comprehensive sequence sampling by a Markov Chain with multiple fitness criteria to identify new switches given the experimental folds. We screen for switch sequences using a combination of contact potential, secondary structure prediction, and finally molecular dynamics simulations. Statistical properties of switch sequences are discussed and illustrated to be most sensitive to mutation at the N- and C- termini of the switch protein. Based on this analysis, a particularly stable putative switch pair is identified and proposed for further experimental analysis.Switches form a special class of proteins that dramatically change their three-dimensional structures upon a small perturbation. One possible perturbation that we explore is that of a single point mutation. Building on the pioneering experimental work of Alexander et al. (Alexander et al. PNAS, 2007; 104,11963-11968) that determines switch sequences between α and α+β folds we conduct a comprehensive sequence sampling by a Markov Chain with multiple fitness criteria to identify new switches given the experimental folds. We screen for switch sequences using a combination of contact potential, secondary structure prediction, and finally molecular dynamics simulations. Statistical properties of switch sequences are discussed and illustrated to be most sensitive to mutation at the N- and C- termini of the switch protein. Based on this analysis, a particularly stable putative switch pair is identified and proposed for further experimental analysis.
Switches form a special class of proteins that dramatically change their three‐dimensional structures upon a small perturbation. One possible perturbation that we explore is that of a single point mutation. Building on the pioneering experimental work of Alexander et al . (Alexander et al. PNAS , 2007; 104,11963–11968) that determines switch sequences between α and α+β folds we conduct a comprehensive sequence sampling by a Markov Chain with multiple fitness criteria to identify new switches given the experimental folds. We screen for switch sequences using a combination of contact potential, secondary structure prediction, and finally molecular dynamics simulations. Statistical properties of switch sequences are discussed and illustrated to be most sensitive to mutation at the N‐ and C‐ termini of the switch protein. Based on this analysis, a particularly stable putative switch pair is identified and proposed for further experimental analysis.
Switches form a special class of proteins that dramatically change their three‐dimensional structures upon a small perturbation. One possible perturbation that we explore is that of a single point mutation. Building on the pioneering experimental work of Alexander et al. (Alexander et al. PNAS, 2007; 104,11963–11968) that determines switch sequences between α and α+β folds we conduct a comprehensive sequence sampling by a Markov Chain with multiple fitness criteria to identify new switches given the experimental folds. We screen for switch sequences using a combination of contact potential, secondary structure prediction, and finally molecular dynamics simulations. Statistical properties of switch sequences are discussed and illustrated to be most sensitive to mutation at the N‐ and C‐ termini of the switch protein. Based on this analysis, a particularly stable putative switch pair is identified and proposed for further experimental analysis.
Switches form a special class of proteins that dramatically change their three-dimensional structures upon a small perturbation. One possible perturbation that we explore is that of a single point mutation. Building on the pioneering experimental work of Alexander et al. (Alexander et al. PNAS, 2007; 104,11963-11968) that determines switch sequences between [alpha] and [alpha]+[beta] folds we conduct a comprehensive sequence sampling by a Markov Chain with multiple fitness criteria to identify new switches given the experimental folds. We screen for switch sequences using a combination of contact potential, secondary structure prediction, and finally molecular dynamics simulations. Statistical properties of switch sequences are discussed and illustrated to be most sensitive to mutation at the N- and C- termini of the switch protein. Based on this analysis, a particularly stable putative switch pair is identified and proposed for further experimental analysis.
Author Chen, Szu‐Hua
Meller, Jaroslaw
Elber, Ron
AuthorAffiliation 2 Institute for Computational Engineering and Sciences, University of Texas at Austin Austin Texas
7 Division of Biomedical Informatics Cincinnati Children's Hospital Medical Center Cincinnati Ohio
5 Department of Biomedical Informatics University of Cincinnati College of Medicine Cincinnati Ohio
8 Department of Chemistry University of Texas at Austin Austin Texas
3 Department of Environmental Health University of Cincinnati College of Medicine Cincinnati Ohio
1 Department of Molecular Biosciences University of Texas at Austin Austin Texas
4 Department of Electrical Engineering and Computing Systems University of Cincinnati College of Medicine Cincinnati Ohio
6 Department of Informatics Nicholas Copernicus University Torun Poland
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Issue 1
Keywords protein folds
secondary structure prediction
mutations
molecular dynamics
contact maps
structural flips
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2015 The Protein Society.
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Snippet Switches form a special class of proteins that dramatically change their three‐dimensional structures upon a small perturbation. One possible perturbation that...
Switches form a special class of proteins that dramatically change their three-dimensional structures upon a small perturbation. One possible perturbation that...
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SubjectTerms Amino Acid Sequence
contact maps
Markov Chains
molecular dynamics
Molecular Dynamics Simulation
Mutation
mutations
Protein Folding
protein folds
Protein Structure, Secondary
Proteins - chemistry
secondary structure prediction
structural flips
Title Comprehensive analysis of sequences of a protein switch
URI https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fpro.2723
https://www.ncbi.nlm.nih.gov/pubmed/26073558
https://www.proquest.com/docview/1753901684
https://www.proquest.com/docview/1760852622
https://pubmed.ncbi.nlm.nih.gov/PMC4815306
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