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Title: Trade-offs between enzyme fitness and solubility illuminated by deep mutational scanning

Abstract

Significance Enzymes find utility as therapeutics and for the production of specialty chemicals. Changing the amino acid sequence of an enzyme can increase solubility, but many such mutations disrupt catalytic activity. To evaluate this trade-off, we developed an experimental system to evaluate the relative solubility for nearly all possible single point mutants for two model enzymes. We find that the tendency for a given solubility-enhancing mutation to disrupt catalytic activity depends, among other factors, on how far the position is from the catalytic active site and whether that mutation has been sampled during evolution. We develop predictive models to identify mutations that enhance solubility without disrupting activity with an accuracy of 90%. These results have biotechnological applications.

Authors:
ORCiD logo [1];  [2];  [3];  [2];  [4]
  1. Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI 48824,
  2. Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM 87545,
  3. Department of Chemical Engineering and Materials Science, Michigan State University, East Lansing, MI 48824,
  4. Department of Chemical Engineering and Materials Science, Michigan State University, East Lansing, MI 48824,, Department of Biosystems and Agricultural Engineering, Michigan State University, East Lansing, MI 48824
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1343782
Grant/Contract Number:  
AC02-76SF00515
Resource Type:
Published Article
Journal Name:
Proceedings of the National Academy of Sciences of the United States of America
Additional Journal Information:
Journal Name: Proceedings of the National Academy of Sciences of the United States of America Journal Volume: 114 Journal Issue: 9; Journal ID: ISSN 0027-8424
Publisher:
Proceedings of the National Academy of Sciences
Country of Publication:
United States
Language:
English

Citation Formats

Klesmith, Justin R., Bacik, John-Paul, Wrenbeck, Emily E., Michalczyk, Ryszard, and Whitehead, Timothy A. Trade-offs between enzyme fitness and solubility illuminated by deep mutational scanning. United States: N. p., 2017. Web. doi:10.1073/pnas.1614437114.
Klesmith, Justin R., Bacik, John-Paul, Wrenbeck, Emily E., Michalczyk, Ryszard, & Whitehead, Timothy A. Trade-offs between enzyme fitness and solubility illuminated by deep mutational scanning. United States. https://doi.org/10.1073/pnas.1614437114
Klesmith, Justin R., Bacik, John-Paul, Wrenbeck, Emily E., Michalczyk, Ryszard, and Whitehead, Timothy A. Tue . "Trade-offs between enzyme fitness and solubility illuminated by deep mutational scanning". United States. https://doi.org/10.1073/pnas.1614437114.
@article{osti_1343782,
title = {Trade-offs between enzyme fitness and solubility illuminated by deep mutational scanning},
author = {Klesmith, Justin R. and Bacik, John-Paul and Wrenbeck, Emily E. and Michalczyk, Ryszard and Whitehead, Timothy A.},
abstractNote = {Significance Enzymes find utility as therapeutics and for the production of specialty chemicals. Changing the amino acid sequence of an enzyme can increase solubility, but many such mutations disrupt catalytic activity. To evaluate this trade-off, we developed an experimental system to evaluate the relative solubility for nearly all possible single point mutants for two model enzymes. We find that the tendency for a given solubility-enhancing mutation to disrupt catalytic activity depends, among other factors, on how far the position is from the catalytic active site and whether that mutation has been sampled during evolution. We develop predictive models to identify mutations that enhance solubility without disrupting activity with an accuracy of 90%. These results have biotechnological applications.},
doi = {10.1073/pnas.1614437114},
journal = {Proceedings of the National Academy of Sciences of the United States of America},
number = 9,
volume = 114,
place = {United States},
year = {2017},
month = {2}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.1073/pnas.1614437114

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Cited by: 2 works
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