Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Dissecting the stability determinants of a challenging de novo protein fold using massively parallel design and experimentation

View ORCID ProfileTae-Eun Kim, View ORCID ProfileKotaro Tsuboyama, View ORCID ProfileScott Houliston, View ORCID ProfileCydney M. Martell, View ORCID ProfileClaire M. Phoumyvong, Alexander Lemak, View ORCID ProfileHugh K. Haddox, View ORCID ProfileCheryl H. Arrowsmith, View ORCID ProfileGabriel J. Rocklin
doi: https://doi.org/10.1101/2021.12.17.472837
Tae-Eun Kim
1Driskill Graduate Program in Life Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL 60611
2Department of Pharmacology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611
3Center for Synthetic Biology, Northwestern University, Evanston, IL 60208
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Tae-Eun Kim
Kotaro Tsuboyama
2Department of Pharmacology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611
3Center for Synthetic Biology, Northwestern University, Evanston, IL 60208
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Kotaro Tsuboyama
Scott Houliston
4Structural Genomics Consortium, University of Toronto, Toronto, ON, M5G 1L7, Canada
5Princess Margaret Cancer Centre and Department of Medical Biophysics, University of Toronto, Toronto, ON, M5G 2M9, Canada
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Scott Houliston
Cydney M. Martell
1Driskill Graduate Program in Life Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL 60611
2Department of Pharmacology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611
3Center for Synthetic Biology, Northwestern University, Evanston, IL 60208
6Chemistry for Life Processes Institute, Northwestern University, Evanston, IL 60208
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Cydney M. Martell
Claire M. Phoumyvong
1Driskill Graduate Program in Life Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL 60611
2Department of Pharmacology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611
3Center for Synthetic Biology, Northwestern University, Evanston, IL 60208
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Claire M. Phoumyvong
Alexander Lemak
5Princess Margaret Cancer Centre and Department of Medical Biophysics, University of Toronto, Toronto, ON, M5G 2M9, Canada
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Hugh K. Haddox
7Department of Biochemistry & Institute for Protein Design, University of Washington, Seattle, WA 98195
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Hugh K. Haddox
Cheryl H. Arrowsmith
4Structural Genomics Consortium, University of Toronto, Toronto, ON, M5G 1L7, Canada
5Princess Margaret Cancer Centre and Department of Medical Biophysics, University of Toronto, Toronto, ON, M5G 2M9, Canada
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Cheryl H. Arrowsmith
Gabriel J. Rocklin
2Department of Pharmacology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611
3Center for Synthetic Biology, Northwestern University, Evanston, IL 60208
6Chemistry for Life Processes Institute, Northwestern University, Evanston, IL 60208
8Robert H. Lurie Comprehensive Cancer Center, Northwestern University, Chicago, IL 60611
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Gabriel J. Rocklin
  • For correspondence: grocklin@gmail.com
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Data/Code
  • Preview PDF
Loading

Abstract

Designing entirely new protein structures remains challenging because we do not fully understand the biophysical determinants of folding stability. Yet some protein folds are easier to design than others. Previous work identified the 43-residue □ββ□ fold as especially challenging: the best designs had only a 2% success rate, compared to 39-87% success for other simple folds (1). This suggested the □ββ□ fold would be a useful model system for gaining a deeper understanding of folding stability determinants and for testing new protein design methods. Here, we designed over ten thousand new □ββ□ proteins and found over three thousand of them to fold into stable structures using a high-throughput protease-based assay. Nuclear magnetic resonance, hydrogen-deuterium exchange, circular dichroism, deep mutational scanning, and scrambled sequence control experiments indicated that our stable designs fold into their designed □ββ□ structures with exceptional stability for their small size. Our large dataset enabled us to quantify the influence of universal stability determinants including nonpolar burial, helix capping, and buried unsatisfied polar atoms, as well as stability determinants unique to the □ββ□ topology. Our work demonstrates how large-scale design and test cycles can solve challenging design problems while illuminating the biophysical determinants of folding.

Significance Most computationally designed proteins fail to fold into their designed structures. This low success rate is a major obstacle to expanding the applications of protein design. In previous work, we discovered a small protein fold that was paradoxically challenging to design (only a 2% success rate) even though the fold itself is very simple. Here, we used a recently developed high-throughput approach to comprehensively examine the design rules for this simple fold. By designing over ten thousand proteins and experimentally measuring their folding stability, we discovered the key biophysical properties that determine the stability of these designs. Our results illustrate general lessons for protein design and also demonstrate how high-throughput stability studies can quantify the importance of different biophysical forces.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • Competing interest: The authors declare no competing interests.

  • Preprint Server: https://www.biorxiv.org/content/10.1101/2021.12.17.472837v1

  • additional supplemental figures added added additional text to the discussion section

  • https://github.com/tekim1/abba_protein_stability_manuscript

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Back to top
PreviousNext
Posted August 03, 2022.
Download PDF

Supplementary Material

Data/Code
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Dissecting the stability determinants of a challenging de novo protein fold using massively parallel design and experimentation
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Dissecting the stability determinants of a challenging de novo protein fold using massively parallel design and experimentation
Tae-Eun Kim, Kotaro Tsuboyama, Scott Houliston, Cydney M. Martell, Claire M. Phoumyvong, Alexander Lemak, Hugh K. Haddox, Cheryl H. Arrowsmith, Gabriel J. Rocklin
bioRxiv 2021.12.17.472837; doi: https://doi.org/10.1101/2021.12.17.472837
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
Dissecting the stability determinants of a challenging de novo protein fold using massively parallel design and experimentation
Tae-Eun Kim, Kotaro Tsuboyama, Scott Houliston, Cydney M. Martell, Claire M. Phoumyvong, Alexander Lemak, Hugh K. Haddox, Cheryl H. Arrowsmith, Gabriel J. Rocklin
bioRxiv 2021.12.17.472837; doi: https://doi.org/10.1101/2021.12.17.472837

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Synthetic Biology
Subject Areas
All Articles
  • Animal Behavior and Cognition (3707)
  • Biochemistry (7835)
  • Bioengineering (5709)
  • Bioinformatics (21372)
  • Biophysics (10616)
  • Cancer Biology (8218)
  • Cell Biology (11990)
  • Clinical Trials (138)
  • Developmental Biology (6794)
  • Ecology (10435)
  • Epidemiology (2065)
  • Evolutionary Biology (13920)
  • Genetics (9736)
  • Genomics (13119)
  • Immunology (8183)
  • Microbiology (20092)
  • Molecular Biology (7886)
  • Neuroscience (43219)
  • Paleontology (322)
  • Pathology (1285)
  • Pharmacology and Toxicology (2270)
  • Physiology (3367)
  • Plant Biology (7263)
  • Scientific Communication and Education (1317)
  • Synthetic Biology (2012)
  • Systems Biology (5554)
  • Zoology (1136)