Literature DB >> 16729727

Chemical structure indexing of toxicity data on the internet: moving toward a flat world.

Ann M Richard1, Lois Swirsky Gold, Marc C Nicklaus.   

Abstract

Standardized chemical structure annotation of public toxicity databases and information resources is playing an increasingly important role in the 'flattening' and integration of diverse sets of biological activity data on the Internet. This review discusses public initiatives that are accelerating the pace of this transformation, with particular reference to toxicology-related chemical information. Chemical content annotators, structure locator services, large structure/data aggregator web sites, structure browsers, International Union of Pure and Applied Chemistry (IUPAC) International Chemical Identifier (InChI) codes, toxicity data models and public chemical/biological activity profiling initiatives are all playing a role in overcoming barriers to the integration of toxicity data, and are bringing researchers closer to the reality of a mineable chemical Semantic Web. An example of this integration of data is provided by the collaboration among researchers involved with the Distributed Structure-Searchable Toxicity (DSSTox) project, the Carcinogenic Potency Project, projects at the National Cancer Institute and the PubChem database.

Entities:  

Mesh:

Year:  2006        PMID: 16729727

Source DB:  PubMed          Journal:  Curr Opin Drug Discov Devel        ISSN: 1367-6733


  21 in total

1.  Identification of previously unrecognized antiestrogenic chemicals using a novel virtual screening approach.

Authors:  Ching Y Wang; Ni Ai; Sonia Arora; Eric Erenrich; Karthigeyan Nagarajan; Randy Zauhar; Douglas Young; William J Welsh
Journal:  Chem Res Toxicol       Date:  2006-12       Impact factor: 3.739

2.  Many InChIs and quite some feat.

Authors:  Wendy A Warr
Journal:  J Comput Aided Mol Des       Date:  2015-06-17       Impact factor: 3.686

3.  Workflow for defining reference chemicals for assessing performance of in vitro assays.

Authors:  Richard S Judson; Russell S Thomas; Nancy Baker; Anita Simha; Xia Meng Howey; Carmen Marable; Nicole C Kleinstreuer; Keith A Houck
Journal:  ALTEX       Date:  2018-12-17       Impact factor: 6.043

4.  Exploiting PubChem for Virtual Screening.

Authors:  Xiang-Qun Xie
Journal:  Expert Opin Drug Discov       Date:  2010-12       Impact factor: 6.098

5.  Extracting Relevant Information from FDA Drug Files to Create a Structurally Diverse Drug Database Using KnowItAll®

Authors:  Malcolm J D'Souza; Fumie Koyoshi
Journal:  Pharm Rev       Date:  2009-05-08

6.  Semantic similarity for automatic classification of chemical compounds.

Authors:  João D Ferreira; Francisco M Couto
Journal:  PLoS Comput Biol       Date:  2010-09-23       Impact factor: 4.475

7.  Data mining the NCI60 to predict generalized cytotoxicity.

Authors:  Adam C Lee; Kerby Shedden; Gustavo R Rosania; Gordon M Crippen
Journal:  J Chem Inf Model       Date:  2008-06-28       Impact factor: 4.956

8.  PubChem: a public information system for analyzing bioactivities of small molecules.

Authors:  Yanli Wang; Jewen Xiao; Tugba O Suzek; Jian Zhang; Jiyao Wang; Stephen H Bryant
Journal:  Nucleic Acids Res       Date:  2009-06-04       Impact factor: 16.971

9.  Exposure as part of a systems approach for assessing risk.

Authors:  Linda S Sheldon; Elaine A Cohen Hubal
Journal:  Environ Health Perspect       Date:  2009-04-08       Impact factor: 9.031

10.  An overview of the PubChem BioAssay resource.

Authors:  Yanli Wang; Evan Bolton; Svetlana Dracheva; Karen Karapetyan; Benjamin A Shoemaker; Tugba O Suzek; Jiyao Wang; Jewen Xiao; Jian Zhang; Stephen H Bryant
Journal:  Nucleic Acids Res       Date:  2009-11-19       Impact factor: 16.971

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