Home LiteratureArticle Details
PMID: 11786027 Published · ppublish English Journal Article Research Support, U.S. Gov't, Non-P.H.S. Research Support, U.S. Gov't, P.H.S.

Why are proteins so robust to site mutations?

Journal of molecular biology ·Vol. 315 ·No. 3 ·2002-01-18 ·Pages 479-84

Taverna DM, Goldstein RA

Abstract

There have been repeated observations that proteins are surprisingly robust to site mutations, enduring significant numbers of substitutions with little change in structure, stability, or function. These results are almost paradoxical in light of what is known about random heteropolymers and the sensitivity of their properties to seemingly trivial mutations. To address this discrepancy, the preservation of biological protein properties in the presence of mutation has been interpreted as indicating the independence of selective pressure on such properties. Such results also lead to the prediction that de novo protein design should be relatively easy, in contrast to what is observed. Here, we use a computational model with lattice proteins to demonstrate how this robustness can result from population dynamics during the evolutionary process. As a result, sequence plasticity may be a characteristic of evolutionarily derived proteins and not necessarily a property of designed proteins. This suggests that this robustness must be re-interpreted in evolutionary terms, and has consequences for our understanding of both in vivo and in vitro protein evolution.

MeSH Terms
Computer Simulation Evolution, Molecular Mutagenesis, Site-Directed Mutation Poisson Distribution Probability Protein Conformation Protein Engineering Protein Folding Proteins/chemistry,genetics,metabolism Structure-Activity Relationship Thermodynamics
Chemicals
Proteins
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Taverna Darin M
Biophysics Research Division, University of Michigan, Ann Arbor, MI 48109-1055, USA.
Goldstein Richard A
Article Info
Journal
Journal of molecular biology
Abbr.
J Mol Biol
ISSN
0022-2836
Published
2002-01-18
Pages
479-84
Language
English
Region
England
NLM ID
2985088R
Subset
IM
Grants
NIGMS NIH HHS · GM 08270 · United States
NLM NIH HHS · LM 05770 · United States
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: [email protected]