Literature DB >> 20348023

Mining connections between chemicals, proteins, and diseases extracted from Medline annotations.

Nancy C Baker1, Bradley M Hemminger.   

Abstract

The biomedical literature is an important source of information about the biological activity and effects of chemicals. We present an application that extracts terms indicating biological activity of chemicals from Medline records, associates them with chemical name and stores the terms in a repository called ChemoText. We describe the construction of ChemoText and then demonstrate its utility in drug research by employing Swanson's ABC discovery paradigm. We reproduce Swanson's discovery of a connection between magnesium and migraine in a novel approach that uses only proteins as the intermediate B terms. We validate our methods by using a cutoff date and evaluate them by calculating precision and recall. In addition to magnesium, we have identified valproic acid and nitric oxide as chemicals which developed links to migraine. We hypothesize, based on protein annotations, that zinc and retinoic acid may play a role in migraine. The ChemoText repository has promise as a data source for drug discovery. Copyright 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20348023      PMCID: PMC2902698          DOI: 10.1016/j.jbi.2010.03.008

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  31 in total

1.  KEGG: kyoto encyclopedia of genes and genomes.

Authors:  M Kanehisa; S Goto
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  MeSHmap: a text mining tool for MEDLINE.

Authors:  P Srinivasan
Journal:  Proc AMIA Symp       Date:  2001

3.  Supporting discovery in medicine by association rule mining in Medline and UMLS.

Authors:  D Hristovski; J Stare; B Peterlin; S Dzeroski
Journal:  Stud Health Technol Inform       Date:  2001

4.  Knowledge discovery by automated identification and ranking of implicit relationships.

Authors:  Jonathan D Wren; Raffi Bekeredjian; Jelena A Stewart; Ralph V Shohet; Harold R Garner
Journal:  Bioinformatics       Date:  2004-01-22       Impact factor: 6.937

5.  Discovering implicit associations between genes and hereditary diseases.

Authors:  Kazuhiro Seki; Javed Mostafa
Journal:  Pac Symp Biocomput       Date:  2007

Review 6.  Calcium antagonist properties of magnesium: implications for antimigraine actions.

Authors:  B M Altura
Journal:  Magnesium       Date:  1985

7.  CD23-mediated nitric oxide synthase pathway induction in human keratinocytes is inhibited by retinoic acid derivatives.

Authors:  P A Bécherel; L Le Goff; S Ktorza; O Chosidow; C Francès; F Issaly; J M Mencia-Huerta; P Debré; M D Mossalayi; M Arock
Journal:  J Invest Dermatol       Date:  1996-06       Impact factor: 8.551

Review 8.  Interactions of Mg and K on cerebral vessels--aspects in view of stroke. Review of present status and new findings.

Authors:  B T Altura; B M Altura
Journal:  Magnesium       Date:  1984

Review 9.  Retinoic acid in the development, regeneration and maintenance of the nervous system.

Authors:  Malcolm Maden
Journal:  Nat Rev Neurosci       Date:  2007-10       Impact factor: 34.870

10.  STITCH: interaction networks of chemicals and proteins.

Authors:  Michael Kuhn; Christian von Mering; Monica Campillos; Lars Juhl Jensen; Peer Bork
Journal:  Nucleic Acids Res       Date:  2007-12-15       Impact factor: 16.971

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  21 in total

1.  Possible links between sickle cell crisis and pentavalent antimony.

Authors:  Daniel Garcerant; Luisa Rubiano; Victor Blanco; Javier Martinez; Nancy C Baker; Noah Craft
Journal:  Am J Trop Med Hyg       Date:  2012-06       Impact factor: 2.345

2.  Chemocentric informatics approach to drug discovery: identification and experimental validation of selective estrogen receptor modulators as ligands of 5-hydroxytryptamine-6 receptors and as potential cognition enhancers.

Authors:  Rima Hajjo; Vincent Setola; Bryan L Roth; Alexander Tropsha
Journal:  J Med Chem       Date:  2012-06-11       Impact factor: 7.446

3.  Predicting Adverse Drug Effects from Literature- and Database-Mined Assertions.

Authors:  Mary K La; Alexander Sedykh; Denis Fourches; Eugene Muratov; Alexander Tropsha
Journal:  Drug Saf       Date:  2018-11       Impact factor: 5.606

4.  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

5.  Mining the pharmacogenomics literature--a survey of the state of the art.

Authors:  Udo Hahn; K Bretonnel Cohen; Yael Garten; Nigam H Shah
Journal:  Brief Bioinform       Date:  2012-07       Impact factor: 11.622

6.  Chemotext: A Publicly Available Web Server for Mining Drug-Target-Disease Relationships in PubMed.

Authors:  Stephen J Capuzzi; Thomas E Thornton; Kammy Liu; Nancy Baker; Wai In Lam; Colin P O'Banion; Eugene N Muratov; Diane Pozefsky; Alexander Tropsha
Journal:  J Chem Inf Model       Date:  2018-01-19       Impact factor: 4.956

Review 7.  Integrative approaches for predicting in vivo effects of chemicals from their structural descriptors and the results of short-term biological assays.

Authors:  Yen Sia Low; Alexander Yeugenyevich Sedykh; Ivan Rusyn; Alexander Tropsha
Journal:  Curr Top Med Chem       Date:  2014       Impact factor: 3.295

Review 8.  A bibliometric review of drug repurposing.

Authors:  Nancy C Baker; Sean Ekins; Antony J Williams; Alexander Tropsha
Journal:  Drug Discov Today       Date:  2018-01-09       Impact factor: 7.851

9.  QSAR models of human data can enrich or replace LLNA testing for human skin sensitization.

Authors:  Vinicius M Alves; Stephen J Capuzzi; Eugene Muratov; Rodolpho C Braga; Thomas Thornton; Denis Fourches; Judy Strickland; Nicole Kleinstreuer; Carolina H Andrade; Alexander Tropsha
Journal:  Green Chem       Date:  2016-10-06       Impact factor: 10.182

10.  A study on PubMed search tag usage pattern: association rule mining of a full-day PubMed query log.

Authors:  Abu Saleh Mohammad Mosa; Illhoi Yoo
Journal:  BMC Med Inform Decis Mak       Date:  2013-01-09       Impact factor: 2.796

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