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Global organization of a binding site network gives insight into evolution and structure-function relationships of proteins

Cited 4 time in Web of Science Cited 7 time in Scopus
Authors

Lee, Ju Yong; Konc, Janez; Janezic, Dusanka; Brooks, Bernard R.

Issue Date
2017-09
Publisher
Nature Publishing Group
Citation
Scientific Reports, Vol.7, p. 11652
Abstract
The global organization of protein binding sites is analyzed by constructing a weighted network of binding sites based on their structural similarities and detecting communities of structurally similar binding sites based on the minimum description length principle. The analysis reveals that there are two central binding site communities that play the roles of the network hubs of smaller peripheral communities. The sizes of communities follow a power-law distribution, which indicates that the binding sites included in larger communities may be older and have been evolutionary structural scaffolds of more recent ones. Structurally similar binding sites in the same community bind to diverse ligands promiscuously and they are also embedded in diverse domain structures. Understanding the general principles of binding site interplay will pave the way for improved drug design and protein design.
ISSN
2045-2322
URI
https://hdl.handle.net/10371/201523
DOI
https://doi.org/10.1038/s41598-017-10412-z
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  • Graduate School of Convergence Science & Technology
  • Dept. of Molecular and Biopharmaceutical Sciences
Research Area AI models for drug discovery, Free energy calculation, Molecular dynamics, 분자동역학, 신약개발을 위한 AI 모델, 자유에너지 계산

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