Literature DB >> 21414988

Compounds In Literature (CIL): screening for compounds and relatives in PubMed.

Björn A Grüning1, Christian Senger, Anika Erxleben, Stephan Flemming, Stefan Günther.   

Abstract

SUMMARY: Searching for certain compounds in literature can be an elaborate task, with many compounds having several different synonyms. Often, only the structure is known but not its name. Furthermore, rarely investigated compounds may not be described in the available literature at all. In such cases, preceding searches for described similar compounds facilitate literature mining. Highlighted names of proteins in selected texts may further accelerate the time-consuming process of literary research. Compounds In Literature (CIL) provides a web interface to automatically find names, structures, and similar structures in over 28 million compounds of PubChem and more than 18 million citations provided by the PubMed service. CIL's pre-calculated database contains more than 56 million parent compound-abstract relations. Found compounds, relatives and abstracts are related to proteins in a concise 'heat map'-like overview. Compounds and proteins are highlighted in their respective abstracts, and are provided with links to PubChem and UniProt. AVAILABILITY: An easy-to-use web interface with detailed descriptions, help and statistics is available from http://cil.pharmaceutical-bioinformatics.de. CONTACT: stefan.guenther@pharmazie.uni-freiburg.de.

Mesh:

Substances:

Year:  2011        PMID: 21414988     DOI: 10.1093/bioinformatics/btr130

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


  5 in total

1.  Metab2MeSH: annotating compounds with medical subject headings.

Authors:  Maureen A Sartor; Alex Ade; Zach Wright; David States; Gilbert S Omenn; Brian Athey; Alla Karnovsky
Journal:  Bioinformatics       Date:  2012-04-06       Impact factor: 6.937

2.  Enhancement of chemical entity identification in text using semantic similarity validation.

Authors:  Tiago Grego; Francisco M Couto
Journal:  PLoS One       Date:  2013-05-02       Impact factor: 3.240

3.  PubMedPortable: A Framework for Supporting the Development of Text Mining Applications.

Authors:  Kersten Döring; Björn A Grüning; Kiran K Telukunta; Philippe Thomas; Stefan Günther
Journal:  PLoS One       Date:  2016-10-05       Impact factor: 3.240

4.  Automated recognition of functional compound-protein relationships in literature.

Authors:  Kersten Döring; Ammar Qaseem; Michael Becer; Jianyu Li; Pankaj Mishra; Mingjie Gao; Pascal Kirchner; Florian Sauter; Kiran K Telukunta; Aurélien F A Moumbock; Philippe Thomas; Stefan Günther
Journal:  PLoS One       Date:  2020-03-03       Impact factor: 3.240

5.  StreptomeDB: a resource for natural compounds isolated from Streptomyces species.

Authors:  Xavier Lucas; Christian Senger; Anika Erxleben; Björn A Grüning; Kersten Döring; Johannes Mosch; Stephan Flemming; Stefan Günther
Journal:  Nucleic Acids Res       Date:  2012-11-28       Impact factor: 16.971

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.