Literature DB >> 17463030

DITOP: drug-induced toxicity related protein database.

Jing-Xian Zhang1, Wei-Juan Huang, Jing-Hua Zeng, Wen-Hui Huang, Yi Wang, Rui Zhao, Bu-Cong Han, Qing-Feng Liu, Yu-Zong Chen, Zhi-Liang Ji.   

Abstract

MOTIVATION: Drug-induced toxicity related proteins (DITRPs) are proteins that mediate adverse drug reactions (ADRs) or toxicities through their binding to drugs or reactive metabolites. Collection of these proteins facilitates better understanding of the molecular mechanisms of drug-induced toxicity and the rational drug discovery. Drug-induced toxicity related protein database (DITOP) is such a database that is intending to provide comprehensive information of DITRPs. Currently, DITOP contains 1501 records, covering 618 distinct literature-reported DITRPs, 529 drugs/ligands and 418 distinct toxicity terms. These proteins were confirmed experimentally to interact with drugs or their reactive metabolites, thus directly or indirectly cause adverse effects or toxicities. Five major types of drug-induced toxicities or ADRs are included in DITOP, which are the idiosyncratic adverse drug reactions, the dose-dependent toxicities, the drug-drug interactions, the immune-mediated adverse drug effects (IMADEs) and the toxicities caused by genetic susceptibility. Molecular mechanisms underlying the toxicity and cross-links to related resources are also provided while available. Moreover, a series of user-friendly interfaces were designed for flexible retrieval of DITRPs-related information. The DITOP can be accessed freely at http://bioinf.xmu.edu.cn/databases/ADR/index.html. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

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Year:  2007        PMID: 17463030     DOI: 10.1093/bioinformatics/btm139

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  12 in total

1.  Virtual target screening: validation using kinase inhibitors.

Authors:  Daniel N Santiago; Yuri Pevzner; Ashley A Durand; MinhPhuong Tran; Rachel R Scheerer; Kenyon Daniel; Shen-Shu Sung; H Lee Woodcock; Wayne C Guida; Wesley H Brooks
Journal:  J Chem Inf Model       Date:  2012-07-23       Impact factor: 4.956

Review 2.  Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive review.

Authors:  Peter Csermely; Tamás Korcsmáros; Huba J M Kiss; Gábor London; Ruth Nussinov
Journal:  Pharmacol Ther       Date:  2013-02-04       Impact factor: 12.310

3.  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

4.  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

5.  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

6.  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

7.  Large-scale identification of adverse drug reaction-related proteins through a random walk model.

Authors:  Xiaowen Chen; Hongbo Shi; Feng Yang; Lei Yang; Yingli Lv; Shuyuan Wang; Enyu Dai; Dianjun Sun; Wei Jiang
Journal:  Sci Rep       Date:  2016-11-02       Impact factor: 4.379

8.  ADReCS-Target: target profiles for aiding drug safety research and application.

Authors:  Li-Hong Huang; Qiu-Shun He; Ke Liu; Jiao Cheng; Min-Dong Zhong; Lin-Shan Chen; Li-Xia Yao; Zhi-Liang Ji
Journal:  Nucleic Acids Res       Date:  2018-01-04       Impact factor: 16.971

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

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