Published January 18, 2005 | Version Published
Journal Article Open

Thermodynamic prediction of protein neutrality

Abstract

We present a simple theory that uses thermodynamic parameters to predict the probability that a protein retains the wild-type structure after one or more random amino acid substitutions. Our theory predicts that for large numbers of substitutions the probability that a protein retains its structure will decline exponentially with the number of substitutions, with the severity of this decline determined by properties of the structure. Our theory also predicts that a protein can gain extra robustness to the first few substitutions by increasing its thermodynamic stability. We validate our theory with simulations on lattice protein models and by showing that it quantitatively predicts previously published experimental measurements on subtilisin and our own measurements on variants of TEM1 beta-lactamase. Our work unifies observations about the clustering of functional proteins in sequence space, and provides a basis for interpreting the response of proteins to substitutions in protein engineering applications.

Additional Information

© 2005 by the National Academy of Sciences. Edited by Alan R. Fersht, University of Cambridge, Cambridge, United Kingdom, and approved December 3, 2004 (received for review September 10, 2004). This paper was submitted directly (Track II) to the PNAS office. We thank Brian Shoichet for providing us with genes for the TEM1 beta-lactamase variants, Titus Brown for programming assistance, Michelle Meyer and Eric Zollars for helpful advice and discussions, and two anonymous reviewers for helpful comments. J.D.B. is supported by a Howard Hughes Medical Institute predoctoral fellowship. D.A.D. is supported by the National Institutes of Health, National Research Service Award 5 T32 MH19138 from the National Institute of Mental Health. C.A. and C.O.W. were supported in part by the National Science Foundation Grant DEB-9981387.

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Additional details

Identifiers

PMCID
PMC545518
Eprint ID
924
Resolver ID
CaltechAUTHORS:BLOpnas05

Funding

Howard Hughes Medical Institute (HHMI)
NIH Predoctoral Fellowship
T32 MH19138
NSF
DEB-9981387

Dates

Created
2005-11-09
Created from EPrint's datestamp field
Updated
2023-06-01
Created from EPrint's last_modified field