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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Proteins Structure F...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Proteins Structure Function and Bioinformatics
Article . 2008 . Peer-reviewed
License: Wiley Online Library User Agreement
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Analysis of the residue–residue coevolution network and the functionally important residues in proteins

Authors: Lee, BC Lee, Byung-Chul; Park, KW Park, Keun-Wan; Kim, DS Kim, Dong-Sup;

Analysis of the residue–residue coevolution network and the functionally important residues in proteins

Abstract

AbstractIt is a common belief that some residues of a protein are more important than others. In some cases, point mutations of some residues make butterfly effect on the protein structure and function, but in other cases they do not. In addition, the residues important for the protein function tend to be not only conserved but also coevolved with other interacting residues in a protein. Motivated by these observations, the authors propose that there is a network composed of the residues, the residue–residue coevolution network (RRCN), where nodes are residues and links are set when the coevolutionary interaction strengths between residues are sufficiently large. The authors build the RRCN for the 44 diverse protein families. The interaction strengths are calculated by using McBASC algorithm. After constructing the RRCN, the authors identify residues that have high degree of connectivity (hub nodes), and residues that play a central role in network flow of information (CI nodes). The authors show that these residues are likely to be functionally important residues. Moreover, the CI nodes appear to be more relevant to the function than the hub nodes. Unlike other similar methods, the method described in this study is solely based on sequences. Therefore, the method can be applied to the function annotation of a wider range of proteins. Proteins 2008. © 2008 Wiley‐Liss, Inc.

Country
Korea (Republic of)
Keywords

Evolution, Molecular, MULTIPLE SEQUENCE ALIGNMENT; CORRELATED MUTATIONS; CRYSTAL-STRUCTURE; ACTIVE-SITE; INFORMATION; PREDICTION; STABILITY; COMMUNICATION; DETERMINANTS; DATABASES, Sequence Analysis, Protein, Proteins, 612, Amino Acids, Databases, Protein, Protein Structure, Secondary

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
49
Top 10%
Top 10%
Top 10%
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