Literature DB >> 32896279

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

Matt Sternke1, Katherine W Tripp2, Doug Barrick3.   

Abstract

The goal of protein design is to create proteins that are stable, soluble, and active. Here we focus on one approach to protein design in which sequence information is used to create a "consensus" sequence. Such consensus sequences comprise the most common residue at each position in a multiple sequence alignment (MSA). After describing some general ideas that relate MSA and consensus sequences and presenting a statistical thermodynamic framework that relates consensus and non-consensus sequences to stability, we detail the process of designing a consensus sequence and survey reports of consensus design and characterization from the literature. Many of these consensus proteins retain native biological activities including ligand binding and enzyme activity. Remarkably, in most cases the consensus protein shows significantly higher stability than extant versions of the protein, as measured by thermal or chemical denaturation, consistent with the statistical thermodynamic model. To understand this stability increase, we compare various features of consensus sequences with the extant MSA sequences from which they were derived. Consensus sequences show enrichment in charged residues (most notably glutamate and lysine) and depletion of uncharged polar residues (glutamine, serine, and asparagine). Surprisingly, a survey of stability changes resulting from point substitutions show little correlation with residue frequencies at the corresponding positions within the MSA, suggesting that the high stability of consensus proteins may result from interactions among residue pairs or higher-order clusters. Whatever the source, the large number of reported successes demonstrates that consensus design is a viable route to generating active and in many cases highly stabilized proteins.
© 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Bioinformatics; Consensus sequences; Multiple sequence alignments; Protein design; Protein engineering; Protein stability

Mesh:

Substances:

Year:  2020        PMID: 32896279      PMCID: PMC8098710          DOI: 10.1016/bs.mie.2020.06.001

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN: 0076-6879            Impact factor:   1.600


  74 in total

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Authors:  Chaithanya Madhurantakam; Gautham Varadamsetty; Markus G Grütter; Andreas Plückthun; Peer R E Mittl
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Review 2.  Ancestral protein reconstruction: techniques and applications.

Authors:  Rainer Merkl; Reinhard Sterner
Journal:  Biol Chem       Date:  2016-01       Impact factor: 3.915

3.  Phylogeny-based design of a B-subunit of DNA gyrase and its ATPase domain using a small set of homologous amino acid sequences.

Authors:  Satoshi Akanuma; Shoko Iwami; Tamaki Yokoi; Nana Nakamura; Hideaki Watanabe; Shin-ichi Yokobori; Akihiko Yamagishi
Journal:  J Mol Biol       Date:  2011-07-27       Impact factor: 5.469

Review 4.  Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.

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Journal:  Nucleic Acids Res       Date:  1997-09-01       Impact factor: 16.971

5.  On the Potential Origins of the High Stability of Reconstructed Ancestral Proteins.

Authors:  Devin L Trudeau; Miriam Kaltenbach; Dan S Tawfik
Journal:  Mol Biol Evol       Date:  2016-07-12       Impact factor: 16.240

Review 6.  The thermostability and specificity of ancient proteins.

Authors:  Lucas C Wheeler; Shion A Lim; Susan Marqusee; Michael J Harms
Journal:  Curr Opin Struct Biol       Date:  2016-06-09       Impact factor: 6.809

7.  Use of a zinc-finger consensus sequence framework and specificity rules to design specific DNA binding proteins.

Authors:  J R Desjarlais; J M Berg
Journal:  Proc Natl Acad Sci U S A       Date:  1993-03-15       Impact factor: 11.205

8.  A relationship between protein stability and protein function.

Authors:  B K Shoichet; W A Baase; R Kuroki; B W Matthews
Journal:  Proc Natl Acad Sci U S A       Date:  1995-01-17       Impact factor: 11.205

9.  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

10.  Exploring the repeat protein universe through computational protein design.

Authors:  T J Brunette; Fabio Parmeggiani; Po-Ssu Huang; Gira Bhabha; Damian C Ekiert; Susan E Tsutakawa; Greg L Hura; John A Tainer; David Baker
Journal:  Nature       Date:  2015-12-16       Impact factor: 49.962

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Review 3.  The stability and dynamics of computationally designed proteins.

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Review 4.  Data-driven computational protein design.

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Journal:  Curr Opin Struct Biol       Date:  2021-04-25       Impact factor: 7.786

Review 5.  Structural plasticity in the loop region of engineered lipocalins with novel ligand specificities, so-called Anticalins.

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