Document Detail


The spatial architecture of protein function and adaptation.
MedLine Citation:
PMID:  23041932     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Statistical analysis of protein evolution suggests a design for natural proteins in which sparse networks of coevolving amino acids (termed sectors) comprise the essence of three-dimensional structure and function. However, proteins are also subject to pressures deriving from the dynamics of the evolutionary process itself-the ability to tolerate mutation and to be adaptive to changing selection pressures. To understand the relationship of the sector architecture to these properties, we developed a high-throughput quantitative method for a comprehensive single-mutation study in which every position is substituted individually to every other amino acid. Using a PDZ domain (PSD95(pdz3)) model system, we show that sector positions are functionally sensitive to mutation, whereas non-sector positions are more tolerant to substitution. In addition, we find that adaptation to a new binding specificity initiates exclusively through variation within sector residues. A combination of just two sector mutations located near and away from the ligand-binding site suffices to switch the binding specificity of PSD95(pdz3) quantitatively towards a class-switching ligand. The localization of functional constraint and adaptive variation within the sector has important implications for understanding and engineering proteins.
Authors:
Richard N McLaughlin Jr; Frank J Poelwijk; Arjun Raman; Walraj S Gosal; Rama Ranganathan
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-10-07
Journal Detail:
Title:  Nature     Volume:  -     ISSN:  1476-4687     ISO Abbreviation:  Nature     Publication Date:  2012 Oct 
Date Detail:
Created Date:  2012-10-8     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0410462     Medline TA:  Nature     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Affiliation:
1] Green Center for Systems Biology, University of Texas Southwestern Medical Center, Dallas, Texas 75390-9050, USA [2] Department of Pharmacology, University of Texas Southwestern Medical Center, Dallas, Texas 75390-9050, USA [3] Division of Basic Sciences, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, Seattle, Washington 98109-1024, USA.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  Genetic programs constructed from layered logic gates in single cells.
Next Document:  Effect of the quantity and quality of cortical bone on the failure force of a miniscrew implant.