Literature DB >> 12862503

Drug Adverse Reaction Target Database (DART) : proteins related to adverse drug reactions.

Zhi Liang Ji1, Lian Yi Han, Chun Wei Yap, Li Zhi Sun, Xin Chen, Yu Zong Chen.   

Abstract

An adverse drug reaction (ADR) often results from interaction of a drug or its metabolites with specific protein targets important in normal cellular function. Knowledge about these targets is both important in facilitating the study of the mechanisms of ADRs and in new drug discovery. It is also useful in the development and testing of rational drug design and safety evaluation tools. The Drug Adverse Reaction Database (DART) is intended to provide comprehensive information about adverse effect targets of drugs described in the literature. Moreover, proteins involved in adverse effect targets of chemicals not yet confirmed as ADR targets are also included as potential targets. This database gives physiological function of each target, binding drugs/agonists/antagonists/activators/inhibitors, IC(50) values of the inhibitors, corresponding adverse effects, and type of ADR induced by drug binding to a target. Cross-links to other databases are also introduced to facilitate the access of information about the sequence, 3-dimensional structure, function, and nomenclature of each target along with drug/ligand binding properties, and related literature. The database currently contains entries for 147 ADR targets and 89 potential targets. A total of 187 adverse reaction conditions, 257 drugs, and 1080 ligands known to bind to each of these targets are also currently described. Each entry can be retrieved through multiple search methods including target name, target physiological function, adverse effect, ligand name, and biological pathways. A special page is provided for contribution of new or additional information. This database can be accessed at http://xin.cz3.nus.edu.sg/group/drt/dart.asp.

Entities:  

Mesh:

Substances:

Year:  2003        PMID: 12862503     DOI: 10.2165/00002018-200326100-00002

Source DB:  PubMed          Journal:  Drug Saf        ISSN: 0114-5916            Impact factor:   5.606


  26 in total

1.  The Protein Data Bank.

Authors:  H M Berman; J Westbrook; Z Feng; G Gilliland; T N Bhat; H Weissig; I N Shindyalov; P E Bourne
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  Genomics and medicine. Dissecting human disease in the postgenomic era.

Authors:  L Peltonen; V A McKusick
Journal:  Science       Date:  2001-02-16       Impact factor: 47.728

3.  Integrating computer prediction systems with in vitro methods towards a better understanding of toxicology.

Authors:  M D Barratt
Journal:  Toxicol Lett       Date:  1998-12-28       Impact factor: 4.372

Review 4.  Microarrays and toxicology: the advent of toxicogenomics.

Authors:  E F Nuwaysir; M Bittner; J Trent; J C Barrett; C A Afshari
Journal:  Mol Carcinog       Date:  1999-03       Impact factor: 4.784

Review 5.  DNA chips: promising toys have become powerful tools.

Authors:  D Gerhold; T Rushmore; C T Caskey
Journal:  Trends Biochem Sci       Date:  1999-05       Impact factor: 13.807

Review 6.  Advances in molecular toxicology-towards understanding idiosyncratic drug toxicity.

Authors:  B K Park; N R Kitteringham; H Powell; M Pirmohamed
Journal:  Toxicology       Date:  2000-11-16       Impact factor: 4.221

Review 7.  100,000 protein structures for the biologist.

Authors:  A Sali
Journal:  Nat Struct Biol       Date:  1998-12

Review 8.  Pharmacodynamics and toxicodynamics of drug action: signaling in cell survival and cell death.

Authors:  A N Kong; S Mandlekar; R Yu; W Lei; A Fasanmande
Journal:  Pharm Res       Date:  1999-06       Impact factor: 4.200

9.  Glutathione peroxidase and catalase modulate the genotoxicity of arsenite.

Authors:  T S Wang; Y F Shu; Y C Liu; K Y Jan; H Huang
Journal:  Toxicology       Date:  1997-09-05       Impact factor: 4.221

Review 10.  Peptide truncation by dipeptidyl peptidase IV: a new pathway for drug discovery?

Authors:  S Scharpé; I De Meester
Journal:  Verh K Acad Geneeskd Belg       Date:  2001
View more
  16 in total

1.  Kinase inhibition-related adverse events predicted from in vitro kinome and clinical trial data.

Authors:  Xinan Yang; Yong Huang; Matthew Crowson; Jianrong Li; Michael L Maitland; Yves A Lussier
Journal:  J Biomed Inform       Date:  2010-05-01       Impact factor: 6.317

2.  Multi-algorithm and multi-model based drug target prediction and web server.

Authors:  Ying-tao Liu; Yi Li; Zi-fu Huang; Zhi-jian Xu; Zhuo Yang; Zhu-xi Chen; Kai-xian Chen; Ji-ye Shi; Wei-liang Zhu
Journal:  Acta Pharmacol Sin       Date:  2014-02-03       Impact factor: 6.150

3.  SM-TF: A structural database of small molecule-transcription factor complexes.

Authors:  Xianjin Xu; Zhiwei Ma; Hongmin Sun; Xiaoqin Zou
Journal:  J Comput Chem       Date:  2016-03-24       Impact factor: 3.376

4.  Improving inverse docking target identification with Z-score selection.

Authors:  Stephanie S Kim; Melanie L Aprahamian; Steffen Lindert
Journal:  Chem Biol Drug Des       Date:  2019-01-02       Impact factor: 2.817

5.  Identifying unexpected therapeutic targets via chemical-protein interactome.

Authors:  Lun Yang; Jian Chen; Leming Shi; Michael P Hudock; Kejian Wang; Lin He
Journal:  PLoS One       Date:  2010-03-08       Impact factor: 3.240

6.  Network characteristic analysis of ADR-related proteins and identification of ADR-ADR associations.

Authors:  Xiujie Chen; Xiangqiong Liu; Xiaodong Jia; Fujian Tan; Ruizhi Yang; Sheng Chen; Lei Liu; Yunfeng Wang; Yuelong Chen
Journal:  Sci Rep       Date:  2013       Impact factor: 4.379

7.  Exploring off-targets and off-systems for adverse drug reactions via chemical-protein interactome--clozapine-induced agranulocytosis as a case study.

Authors:  Lun Yang; Kejian Wang; Jian Chen; Anil G Jegga; Heng Luo; Leming Shi; Chunling Wan; Xizhi Guo; Shengying Qin; Guang He; Guoyin Feng; Lin He
Journal:  PLoS Comput Biol       Date:  2011-03-31       Impact factor: 4.475

8.  Large-scale prediction and testing of drug activity on side-effect targets.

Authors:  Eugen Lounkine; Michael J Keiser; Steven Whitebread; Dmitri Mikhailov; Jacques Hamon; Jeremy L Jenkins; Paul Lavan; Eckhard Weber; Allison K Doak; Serge Côté; Brian K Shoichet; Laszlo Urban
Journal:  Nature       Date:  2012-06-10       Impact factor: 49.962

9.  Harvesting candidate genes responsible for serious adverse drug reactions from a chemical-protein interactome.

Authors:  Lun Yang; Jian Chen; Lin He
Journal:  PLoS Comput Biol       Date:  2009-07-24       Impact factor: 4.475

10.  SePreSA: a server for the prediction of populations susceptible to serious adverse drug reactions implementing the methodology of a chemical-protein interactome.

Authors:  Lun Yang; Heng Luo; Jian Chen; Qinghe Xing; Lin He
Journal:  Nucleic Acids Res       Date:  2009-05-05       Impact factor: 16.971

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.