Literature DB >> 21839742

Triosephosphate isomerase by consensus design: dramatic differences in physical properties and activity of related variants.

Brandon J Sullivan1, Venuka Durani, Thomas J Magliery.   

Abstract

Consensus design, the selection of mutations based on the most common amino acid in each position of a multiple sequence alignment, has proven to be an efficient way to engineer stabilized mutants and even to design entire proteins. However, its application has been limited to small motifs or small families of highly related proteins. Also, we have little idea of how information that specifies a protein's properties is distributed between positional effects (consensus) and interactions between positions (correlated occurrences of amino acids). Here, we designed several consensus variants of triosephosphate isomerase (TIM), a large, diverse family of complex enzymes. The first variant was only weakly active, had molten globular characteristics, and was monomeric at 25 °C despite being based on nearly all dimeric enzymes. A closely related variant from curation of the sequence database resulted in a native-like dimeric TIM with near-diffusion-controlled kinetics. Both enzymes vary substantially (30-40%) from any natural TIM, but they differ from each other in only a relatively small number of unconserved positions. We demonstrate that consensus design is sufficient to engineer a sophisticated protein that requires precise substrate positioning and coordinated loop motion. The difference in oligomeric states and native-like properties for the two consensus variants is not a result of defects in the dimerization interface but rather disparate global properties of the proteins. These results have important implications for the role of correlated amino acids, the ability of TIM to function as a monomer, and the ability of molten globular proteins to carry out complex reactions.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21839742     DOI: 10.1016/j.jmb.2011.08.001

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  24 in total

1.  Synthetic and natural consensus design for engineering charge within an affibody targeting epidermal growth factor receptor.

Authors:  Brett A Case; Benjamin J Hackel
Journal:  Biotechnol Bioeng       Date:  2016-02-04       Impact factor: 4.530

2.  Crystallization and preliminary X-ray crystallographic analysis of an artificial molten-globular-like triosephosphate isomerase protein of mixed phylogenetic origin.

Authors:  Venuka Durani Goyal; Pooja Yadav; Ashwani Kumar; Biplab Ghosh; Ravindra D Makde
Journal:  Acta Crystallogr F Struct Biol Commun       Date:  2014-10-25       Impact factor: 1.056

3.  Consensus sequence design as a general strategy to create hyperstable, biologically active proteins.

Authors:  Matt Sternke; Katherine W Tripp; Doug Barrick
Journal:  Proc Natl Acad Sci U S A       Date:  2019-05-20       Impact factor: 11.205

4.  Consensus design of a NOD receptor leucine rich repeat domain with binding affinity for a muramyl dipeptide, a bacterial cell wall fragment.

Authors:  Rachael Parker; Ana Mercedes-Camacho; Tijana Z Grove
Journal:  Protein Sci       Date:  2014-04-17       Impact factor: 6.725

5.  Understanding the sequence requirements of protein families: insights from the BioVis 2013 contests.

Authors:  William C Ray; R Wolfgang Rumpf; Brandon Sullivan; Nicholas Callahan; Thomas Magliery; Raghu Machiraju; Bang Wong; Martin Krzywinski; Christopher W Bartlett
Journal:  BMC Proc       Date:  2014-08-28

6.  Stabilizing proteins from sequence statistics: the interplay of conservation and correlation in triosephosphate isomerase stability.

Authors:  Brandon J Sullivan; Tran Nguyen; Venuka Durani; Deepti Mathur; Samantha Rojas; Miriam Thomas; Trixy Syu; Thomas J Magliery
Journal:  J Mol Biol       Date:  2012-05-01       Impact factor: 5.469

7.  Creating a Homeodomain with High Stability and DNA Binding Affinity by Sequence Averaging.

Authors:  Katherine W Tripp; Matt Sternke; Ananya Majumdar; Doug Barrick
Journal:  J Am Chem Soc       Date:  2017-03-28       Impact factor: 15.419

8.  The use of consensus sequence information to engineer stability and activity in proteins.

Authors:  Matt Sternke; Katherine W Tripp; Doug Barrick
Journal:  Methods Enzymol       Date:  2020-07-17       Impact factor: 1.600

Review 9.  Protein stability: computation, sequence statistics, and new experimental methods.

Authors:  Thomas J Magliery
Journal:  Curr Opin Struct Biol       Date:  2015-08       Impact factor: 6.809

10.  Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues.

Authors:  R Wolfgang Rumpf; William C Ray
Journal:  J Vis Exp       Date:  2015-07-14       Impact factor: 1.355

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