Literature DB >> 22082195

Current computer modeling cannot explain why two highly similar sequences fold into different structures.

Jane R Allison1, Maike Bergeler, Niels Hansen, Wilfred F van Gunsteren.   

Abstract

The remarkable recent creation of two proteins that fold into two completely different and stable structures, exhibit different functions, yet differ by only a few amino acids poses a conundrum to those hoping to understand how sequence encodes structure. Here, computer modeling uniquely allows the characterization of not only the native structure of each minimally different sequence but also systems in which each sequence was modeled onto the fold of the alternate sequence. The reasons for the different structural preferences of two pairs of highly similar sequences are explored by a combination of structure analyses, comparison of potential energies calculated from energy-minimized single structures and trajectories produced from molecular dynamics simulations, and application of a novel method for calculating free energy differences. The sensitivity of such analyses to the choice of force field is also explored. Many of the hypotheses proposed on the basis of the nuclear magnetic resonance model structures of the proteins with 95% identical sequences are supported. However, each level of analysis provides different predictions regarding which sequence-structure combination should be most favored, highlighting the fact that protein structure and stability result from a complex combination of interdependent factors.

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Year:  2011        PMID: 22082195     DOI: 10.1021/bi2015663

Source DB:  PubMed          Journal:  Biochemistry        ISSN: 0006-2960            Impact factor:   3.162


  13 in total

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8.  From macromolecules to electrons-grand challenges in theoretical and computational chemistry.

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9.  Implication of the cause of differences in 3D structures of proteins with high sequence identity based on analyses of amino acid sequences and 3D structures.

Authors:  Masanari Matsuoka; Masatake Sugita; Takeshi Kikuchi
Journal:  BMC Res Notes       Date:  2014-09-18

10.  Better theoretical models and protein design experiments can help to understand protein folding.

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Journal:  J Nat Sci Biol Med       Date:  2015 Jan-Jun
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