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Conformational Proofreading: The Impact of Conformational Changes on the Specificity of Molecular Recognition

Overview of attention for article published in PLOS ONE, May 2007
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Title
Conformational Proofreading: The Impact of Conformational Changes on the Specificity of Molecular Recognition
Published in
PLOS ONE, May 2007
DOI 10.1371/journal.pone.0000468
Pubmed ID
Authors

Yonatan Savir, Tsvi Tlusty

Abstract

To perform recognition, molecules must locate and specifically bind their targets within a noisy biochemical environment with many look-alikes. Molecular recognition processes, especially the induced-fit mechanism, are known to involve conformational changes. This raises a basic question: Does molecular recognition gain any advantage by such conformational changes? By introducing a simple statistical-mechanics approach, we study the effect of conformation and flexibility on the quality of recognition processes. Our model relates specificity to the conformation of the participant molecules and thus suggests a possible answer: Optimal specificity is achieved when the ligand is slightly off target; that is, a conformational mismatch between the ligand and its main target improves the selectivity of the process. This indicates that deformations upon binding serve as a conformational proofreading mechanism, which may be selected for via evolution.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 1%
United States 2 1%
France 2 1%
Japan 2 1%
Korea, Republic of 1 <1%
South Africa 1 <1%
Canada 1 <1%
Switzerland 1 <1%
United Kingdom 1 <1%
Other 1 <1%
Unknown 141 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 44 28%
Researcher 27 17%
Student > Bachelor 14 9%
Professor 11 7%
Student > Master 8 5%
Other 23 15%
Unknown 28 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 23%
Biochemistry, Genetics and Molecular Biology 31 20%
Physics and Astronomy 21 14%
Chemistry 16 10%
Engineering 9 6%
Other 11 7%
Unknown 32 21%