Literature DB >> 33824364

Rational thermostabilisation of four-helix bundle dimeric de novo proteins.

Shin Irumagawa1,2,3, Kaito Kobayashi4, Yutaka Saito4,5,6, Takeshi Miyata7, Mitsuo Umetsu8, Tomoshi Kameda4, Ryoichi Arai9,10,11.   

Abstract

The stability of proteins is an important factor for industrial and medical applications. Improving protein stability is one of the main subjects in protein engineering. In a previous study, we improved the stability of a four-helix bundle dimeric de novo protein (WA20) by five mutations. The stabilised mutant (H26L/G28S/N34L/V71L/E78L, SUWA) showed an extremely high denaturation midpoint temperature (Tm). Although SUWA is a remarkably hyperstable protein, in protein design and engineering, it is an attractive challenge to rationally explore more stable mutants. In this study, we predicted stabilising mutations of WA20 by in silico saturation mutagenesis and molecular dynamics simulation, and experimentally confirmed three stabilising mutations of WA20 (N22A, N22E, and H86K). The stability of a double mutant (N22A/H86K, rationally optimised WA20, ROWA) was greatly improved compared with WA20 (ΔTm = 10.6 °C). The model structures suggested that N22A enhances the stability of the α-helices and N22E and H86K contribute to salt-bridge formation for protein stabilisation. These mutations were also added to SUWA and improved its Tm. Remarkably, the most stable mutant of SUWA (N22E/H86K, rationally optimised SUWA, ROSA) showed the highest Tm (129.0 °C). These new thermostable mutants will be useful as a component of protein nanobuilding blocks to construct supramolecular protein complexes.

Entities:  

Year:  2021        PMID: 33824364     DOI: 10.1038/s41598-021-86952-2

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  31 in total

Review 1.  De novo design of helical bundles as models for understanding protein folding and function.

Authors:  R B Hill; D P Raleigh; A Lombardi; W F DeGrado
Journal:  Acc Chem Res       Date:  2000-11       Impact factor: 22.384

Review 2.  Engineering proteins for thermostability: the use of sequence alignments versus rational design and directed evolution.

Authors:  M Lehmann; M Wyss
Journal:  Curr Opin Biotechnol       Date:  2001-08       Impact factor: 9.740

Review 3.  Engineering proteins for thermostability through rigidifying flexible sites.

Authors:  Haoran Yu; He Huang
Journal:  Biotechnol Adv       Date:  2013-11-06       Impact factor: 14.227

Review 4.  Structure- and sequence-analysis inspired engineering of proteins for enhanced thermostability.

Authors:  Hein J Wijma; Robert J Floor; Dick B Janssen
Journal:  Curr Opin Struct Biol       Date:  2013-05-15       Impact factor: 6.809

Review 5.  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

Review 6.  Engineering thermostability: lessons from thermophilic proteins.

Authors:  R J Russell; G L Taylor
Journal:  Curr Opin Biotechnol       Date:  1995-08       Impact factor: 9.740

7.  Insights from molecular dynamics simulations for computational protein design.

Authors:  Matthew Carter Childers; Valerie Daggett
Journal:  Mol Syst Des Eng       Date:  2017-01-09

Review 8.  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

9.  Prediction of New Stabilizing Mutations Based on Mechanistic Insights from Markov State Models.

Authors:  Maxwell I Zimmerman; Kathryn M Hart; Carrie A Sibbald; Thomas E Frederick; John R Jimah; Catherine R Knoverek; Niraj H Tolia; Gregory R Bowman
Journal:  ACS Cent Sci       Date:  2017-11-21       Impact factor: 14.553

10.  Automated Structure- and Sequence-Based Design of Proteins for High Bacterial Expression and Stability.

Authors:  Adi Goldenzweig; Moshe Goldsmith; Shannon E Hill; Or Gertman; Paola Laurino; Yacov Ashani; Orly Dym; Tamar Unger; Shira Albeck; Jaime Prilusky; Raquel L Lieberman; Amir Aharoni; Israel Silman; Joel L Sussman; Dan S Tawfik; Sarel J Fleishman
Journal:  Mol Cell       Date:  2016-07-14       Impact factor: 17.970

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  1 in total

1.  Self-Assembling Lectin Nano-Block Oligomers Enhance Binding Avidity to Glycans.

Authors:  Shin Irumagawa; Keiko Hiemori; Sayoko Saito; Hiroaki Tateno; Ryoichi Arai
Journal:  Int J Mol Sci       Date:  2022-01-08       Impact factor: 5.923

  1 in total

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