Literature DB >> 20162614

Comparative characterization of random-sequence proteins consisting of 5, 12, and 20 kinds of amino acids.

Junko Tanaka1, Nobuhide Doi, Hideaki Takashima, Hiroshi Yanagawa.   

Abstract

Screening of functional proteins from a random-sequence library has been used to evolve novel proteins in the field of evolutionary protein engineering. However, random-sequence proteins consisting of the 20 natural amino acids tend to aggregate, and the occurrence rate of functional proteins in a random-sequence library is low. From the viewpoint of the origin of life, it has been proposed that primordial proteins consisted of a limited set of amino acids that could have been abundantly formed early during chemical evolution. We have previously found that members of a random-sequence protein library constructed with five primitive amino acids show high solubility (Doi et al., Protein Eng Des Sel 2005;18:279-284). Although such a library is expected to be appropriate for finding functional proteins, the functionality may be limited, because they have no positively charged amino acid. Here, we constructed three libraries of 120-amino acid, random-sequence proteins using alphabets of 5, 12, and 20 amino acids by preselection using mRNA display (to eliminate sequences containing stop codons and frameshifts) and characterized and compared the structural properties of random-sequence proteins arbitrarily chosen from these libraries. We found that random-sequence proteins constructed with the 12-member alphabet (including five primitive amino acids and positively charged amino acids) have higher solubility than those constructed with the 20-member alphabet, though other biophysical properties are very similar in the two libraries. Thus, a library of moderate complexity constructed from 12 amino acids may be a more appropriate resource for functional screening than one constructed from 20 amino acids.

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Year:  2010        PMID: 20162614      PMCID: PMC2867018          DOI: 10.1002/pro.358

Source DB:  PubMed          Journal:  Protein Sci        ISSN: 0961-8368            Impact factor:   6.725


  36 in total

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2.  Searching sequence space for protein catalysts.

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Review 3.  Intrinsically unstructured proteins: re-assessing the protein structure-function paradigm.

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5.  Evolutionary optimization of a nonbiological ATP binding protein for improved folding stability.

Authors:  John C Chaput; Jack W Szostak
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6.  The triplet code from first principles.

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Review 7.  Searching for folded proteins in vitro and in silico.

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8.  In vitro virus: bonding of mRNA bearing puromycin at the 3'-terminal end to the C-terminal end of its encoded protein on the ribosome in vitro.

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9.  Highly stable and efficient mRNA templates for mRNA-protein fusions and C-terminally labeled proteins.

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Journal:  Nucleic Acids Res       Date:  2003-08-01       Impact factor: 16.971

10.  Functional proteins from a random-sequence library.

Authors:  A D Keefe; J W Szostak
Journal:  Nature       Date:  2001-04-05       Impact factor: 49.962

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  13 in total

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Review 2.  Evolution of new functions de novo and from preexisting genes.

Authors:  Dan I Andersson; Jon Jerlström-Hultqvist; Joakim Näsvall
Journal:  Cold Spring Harb Perspect Biol       Date:  2015-06-01       Impact factor: 10.005

3.  Surveying the sequence diversity of model prebiotic peptides by mass spectrometry.

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4.  Modern and prebiotic amino acids support distinct structural profiles in proteins.

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5.  Enzyme catalysis prior to aromatic residues: Reverse engineering of a dephospho-CoA kinase.

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6.  Comparison of the frequency of functional SH3 domains with different limited sets of amino acids using mRNA display.

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Journal:  PLoS One       Date:  2011-03-21       Impact factor: 3.240

Review 7.  De novo proteins from random sequences through in vitro evolution.

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8.  Computational Redesign of Thioredoxin Is Hypersensitive toward Minor Conformational Changes in the Backbone Template.

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Review 9.  Synthetic biology for the directed evolution of protein biocatalysts: navigating sequence space intelligently.

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10.  Natural protein sequences are more intrinsically disordered than random sequences.

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Journal:  Cell Mol Life Sci       Date:  2016-01-22       Impact factor: 9.261

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