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Bioinformatics
Article . 2013 . Peer-reviewed
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Bioinformatics
Article
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Bioinformatics
Article . 2014
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Allosite: a method for predicting allosteric sites

Authors: Wenkang, Huang; Shaoyong, Lu; Zhimin, Huang; Xinyi, Liu; Linkai, Mou; Yu, Luo; Yanlong, Zhao; +4 Authors

Allosite: a method for predicting allosteric sites

Abstract

Abstract Motivation: The use of allosteric modulators as preferred therapeutic agents against classic orthosteric ligands has colossal advantages, including higher specificity, fewer side effects and lower toxicity. Therefore, the computational prediction of allosteric sites in proteins is receiving increased attention in the field of drug discovery. Allosite is a newly developed automatic tool for the prediction of allosteric sites in proteins of interest and is now available through a web server. Availability: The Allosite server and tutorials are freely available at http://mdl.shsmu.edu.cn/AST Contact: jian.zhang@sjtu.edu.cn Supplementary information: Supplementary data are available at Bioinformatics online.

Related Organizations
Keywords

Drug Discovery, Proteins, Ligands, Algorithms, Allosteric Site, Software

  • BIP!
    Impact byBIP!
    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).
    186
    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.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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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!
186
Top 1%
Top 10%
Top 10%
gold