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 in | Protein science Vol. 25; no. 1; pp. 135 - 146 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
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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. |
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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 |
AuthorAffiliation_xml | – name: 6 Department of Informatics Nicholas Copernicus University Torun Poland – name: 7 Division of Biomedical Informatics Cincinnati Children's Hospital Medical Center Cincinnati Ohio – name: 5 Department of Biomedical Informatics University of Cincinnati College of Medicine Cincinnati Ohio – name: 4 Department of Electrical Engineering and Computing Systems University of Cincinnati College of Medicine Cincinnati Ohio – name: 3 Department of Environmental Health University of Cincinnati College of Medicine Cincinnati Ohio – name: 8 Department of Chemistry University of Texas at Austin Austin Texas – name: 2 Institute for Computational Engineering and Sciences, University of Texas at Austin Austin Texas – name: 1 Department of Molecular Biosciences University of Texas at Austin Austin Texas |
Author_xml | – sequence: 1 givenname: Szu‐Hua surname: Chen fullname: Chen, Szu‐Hua organization: Institute for Computational Engineering and Sciences, University of Texas at Austin – sequence: 2 givenname: Jaroslaw surname: Meller fullname: Meller, Jaroslaw organization: Cincinnati Children's Hospital Medical Center – sequence: 3 givenname: Ron surname: Elber fullname: Elber, Ron organization: University of Texas at Austin |
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Keywords | protein folds secondary structure prediction mutations molecular dynamics contact maps structural flips |
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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 |
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