title: DetoxiProt: an integrated database for detoxification proteins.
abstract: BACKGROUND
  Detoxification proteins are a class of proteins for degradation and/or elimination of endogenous and exogenous toxins or medicines, as well as reactive oxygen species (ROS) produced by these materials. Most of these proteins are generated as a response to the stimulation of toxins or medicines. They are essential for the clearance of harmful substances and for maintenance of physiological balance in organisms. Thus, it is important to collect and integrate information on detoxification proteins.
  
  
  RESULTS
  To store, retrieve and analyze the information related to their features and functions, we developed the DetoxiProt, a comprehensive database for annotation of these proteins. This database provides detailed introductions about different classes of the detoxification proteins. Extensive annotations of these proteins, including sequences, structures, features, inducers, inhibitors, substrates, chromosomal location, functional domains as well as physiological-biochemical properties were generated. Furthermore, pre-computed BLAST results, multiple sequence alignments and evolutionary trees for detoxification proteins are also provided for evolutionary study of conserved function and pathways. The current version of DetoxiProt contains 5956 protein entries distributed in 628 organisms. An easy to use web interface was designed, so that annotations about each detoxification protein can be retrieved by browsing with a specific method or by searching with different criteria.
  
  
  CONCLUSIONS
  DetoxiProt provides an effective and efficient way of accessing the detoxification protein sequences and other high-quality information. This database would be a valuable source for toxicologists, pharmacologists and medicinal chemists. DetoxiProt database is freely available at http://lifecenter.sgst.cn/detoxiprot/.
authors.affiliation: School of Life Science, Fudan University, HanDan Road 220#, Shanghai, 200433, China.
authors.forename: Zhen
authors.initials: Z
authors.lastname: Yang
authors.forename: Ying
authors.initials: Y
authors.lastname: Yu
authors.forename: Lei
authors.initials: L
authors.lastname: Yao
authors.forename: Guangui
authors.initials: G
authors.lastname: Li
authors.forename: Lin
authors.initials: L
authors.lastname: Wang
authors.forename: Yiyao
authors.initials: Y
authors.lastname: Hu
authors.forename: Haibin
authors.initials: H
authors.lastname: Wei
authors.forename: Li
authors.initials: L
authors.lastname: Wang
authors.forename: Riadh
authors.initials: R
authors.lastname: Hammami
authors.forename: Roxanne
authors.initials: R
authors.lastname: Razavi
authors.forename: Yang
authors.initials: Y
authors.lastname: Zhong
authors.forename: Xufang
authors.initials: X
authors.lastname: Liang
mesh_terms: D030562:Databases, Protein; D008658:Inactivation, Metabolic; D016247:Information Storage and Retrieval; D020407:Internet; D011506:Proteins / Q000737:chemistry / Q000235:genetics / Q000378:metabolism*; D014584:User-Computer Interface
chemical_list: D011506:Proteins