title: Allosite: a method for predicting allosteric sites.
abstract: BACKGROUND
  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.
  
  
  BACKGROUND
  The Allosite server and tutorials are freely available at http://mdl.shsmu.edu.cn/AST CONTACT: jian.zhang@sjtu.edu.cn
  
  
  BACKGROUND
  Supplementary data are available at Bioinformatics online.
authors.affiliation: Department of Pathophysiology, Shanghai Jiao-Tong University School of Medicine, Shanghai 200025, China.
authors.forename: Wenkang
authors.initials: W
authors.lastname: Huang
authors.forename: Shaoyong
authors.initials: S
authors.lastname: Lu
authors.forename: Zhimin
authors.initials: Z
authors.lastname: Huang
authors.forename: Xinyi
authors.initials: X
authors.lastname: Liu
authors.forename: Linkai
authors.initials: L
authors.lastname: Mou
authors.forename: Yu
authors.initials: Y
authors.lastname: Luo
authors.forename: Yanlong
authors.initials: Y
authors.lastname: Zhao
authors.forename: Yaqin
authors.initials: Y
authors.lastname: Liu
authors.forename: Zhongjie
authors.initials: Z
authors.lastname: Chen
authors.forename: Tingjun
authors.initials: T
authors.lastname: Hou
authors.forename: Jian
authors.initials: J
authors.lastname: Zhang
mesh_terms: D000465:Algorithms; D000495:Allosteric Site; D055808:Drug Discovery; D008024:Ligands; D011506:Proteins / Q000737:chemistry* / Q000378:metabolism; D012984:Software
chemical_list: D008024:Ligands; D011506:Proteins