Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Letter
  • Published:

Quantitative analysis of structure–activity relationships in engineered proteins by linear free-energy relationships

Abstract

Protein engineering is being used increasingly to study the fine details of the structure and activity of enzymes. How can small effects of mutation on activity be reliably quantified and systematized, and artefacts be recognized? A traditional means of doing this in organic chemistry is the use of linear free-energy relationships that link changes in rate constant for a reaction to changes in its equilibrium constant as the structure of the reagents is altered—Brønsted or Hammett plots1. We now find that the same type of plot may be applied to enzymatic reactions for variation of the structure of an enzyme with mutation. The activities of many mutant tyrosyl-transfer RNA synthetases fit structure-activity relationships which relate the rate constant for the formation of enzyme-bound tyrosyl adenylate (E.Tyr–AMP) to its equilibrium constant with enzyme-bound tyrosine and ATP (E.Tyr. ATP). This reaction results in an increase in binding energy between certain side chains of the enzyme and the side chain of tyrosine and the ribose ring of ATP. Plots of rate against equilibrium constant for a series of enzymes mutated in the relevant positions indicate that 71% of the binding energy change occurs on formation of the transition state for the chemical reaction and 90% occurs on formation of the E.Tyr–AMP.PPi complex. Other mutations show a different behaviour which is diagnostic of residues that specifically bind the transition state. Linear free-energy plots show trends and allow exceptions to be readily noted. That the activities of a large number of mutants conform to linear free-energy equations is the best evidence yet that mutation of an enzyme can probe general properties and trends in the relationship between structure and activity.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Similar content being viewed by others

References

  1. Jencks, W. P. Chem. Rev. 85, 511–517 (1985).

    Article  CAS  Google Scholar 

  2. Winter, G., Fersht, A. R., Wilkinson, A. J., Zoller, M. & Smith, M. Nature 299, 756–758 (1982).

    Article  ADS  CAS  Google Scholar 

  3. Fersht, A. R. et al. Angew. Chem. int. Edn Engl. 23, 467–473 (1984).

    Article  Google Scholar 

  4. Fersht, A. R. et al. Nature 314, 235–238 (1985).

    Article  ADS  CAS  Google Scholar 

  5. Leatherbarrow, R. J., Winter, G. & Fersht, A. R. Proc. natn. Acad. Sci. U.S.A. 82, 7840–7844 (1985).

    Article  ADS  CAS  Google Scholar 

  6. Wells, T. N. C. & Fersht, A. R. Nature 316, 656–657 (1985).

    Article  ADS  CAS  Google Scholar 

  7. Wells, T. N. C. & Fersht, A. R. Biochemistry 25, 1881–1886 (1986).

    Article  CAS  Google Scholar 

  8. Ho, C. K. & Fersht, A. R. Biochemistry 25, 1891–1897 (1986).

    Article  CAS  Google Scholar 

  9. Fersht, A. R. Enzyme Structure and Mechanism 2nd edn, Ch. 12 (Freeman, San Francisco, 1985).

    Google Scholar 

  10. Waye, M. M. Y., Winter, G., Wilkinson, A. J. & Fersht, A. R. EMBO J. 2, 1827–1829 (1983).

    Article  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Fersht, A., Leatherbarrow, R. & Wells, T. Quantitative analysis of structure–activity relationships in engineered proteins by linear free-energy relationships. Nature 322, 284–286 (1986). https://doi.org/10.1038/322284a0

Download citation

  • Received:

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1038/322284a0

This article is cited by

Comments

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing