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Rampant Exchange of the Structure and Function of Extramembrane Domains between Membrane and Water Soluble Proteins

Overview of attention for article published in PLoS Computational Biology, March 2013
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Title
Rampant Exchange of the Structure and Function of Extramembrane Domains between Membrane and Water Soluble Proteins
Published in
PLoS Computational Biology, March 2013
DOI 10.1371/journal.pcbi.1002997
Pubmed ID
Authors

Hyun-Jun Nam, Seong Kyu Han, James U. Bowie, Sanguk Kim

Abstract

Of the membrane proteins of known structure, we found that a remarkable 67% of the water soluble domains are structurally similar to water soluble proteins of known structure. Moreover, 41% of known water soluble protein structures share a domain with an already known membrane protein structure. We also found that functional residues are frequently conserved between extramembrane domains of membrane and soluble proteins that share structural similarity. These results suggest membrane and soluble proteins readily exchange domains and their attendant functionalities. The exchanges between membrane and soluble proteins are particularly frequent in eukaryotes, indicating that this is an important mechanism for increasing functional complexity. The high level of structural overlap between the two classes of proteins provides an opportunity to employ the extensive information on soluble proteins to illuminate membrane protein structure and function, for which much less is known. To this end, we employed structure guided sequence alignment to elucidate the functions of membrane proteins in the human genome. Our results bridge the gap of fold space between membrane and water soluble proteins and provide a resource for the prediction of membrane protein function. A database of predicted structural and functional relationships for proteins in the human genome is provided at sbi.postech.ac.kr/emdmp.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 3%
Denmark 1 3%
Unknown 30 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 47%
Student > Master 5 16%
Researcher 4 13%
Student > Bachelor 2 6%
Student > Doctoral Student 2 6%
Other 3 9%
Unknown 1 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 44%
Biochemistry, Genetics and Molecular Biology 9 28%
Engineering 3 9%
Chemistry 2 6%
Immunology and Microbiology 1 3%
Other 2 6%
Unknown 1 3%