Literature DB >> 18003032

Reconstruction of chemical molecules from images.

Maria-Elena Algorri1, Marc Zimmermann, Christoph M Friedrich, Santiago Akle, Martin Hofmann-Apitius.   

Abstract

We have developed a system for the automatic reconstruction of chemical molecules from images. The system takes as input an electronically produced image of a chemical molecule and produces an SDF file containing the complete chemical description of the molecule. The SDF file can then be read and used by most chemical computer programs. Our system finds extensive application in information extraction problems where the molecule images contained in chemical documents need to be rendered computer readable. We have benchmarked our system against a commercially available product and have also tested it using chemical databases of several thousand images. The system can be parameterized to reconstruct images of different sources and different characteristics.

Mesh:

Year:  2007        PMID: 18003032     DOI: 10.1109/IEMBS.2007.4353366

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  5 in total

1.  Tunable machine vision-based strategy for automated annotation of chemical databases.

Authors:  Jungkap Park; Gus R Rosania; Kazuhiro Saitou
Journal:  J Chem Inf Model       Date:  2009-08       Impact factor: 4.956

2.  Detection of IUPAC and IUPAC-like chemical names.

Authors:  Roman Klinger; Corinna Kolárik; Juliane Fluck; Martin Hofmann-Apitius; Christoph M Friedrich
Journal:  Bioinformatics       Date:  2008-07-01       Impact factor: 6.937

3.  ChemEx: information extraction system for chemical data curation.

Authors:  Atima Tharatipyakul; Somrak Numnark; Duangdao Wichadakul; Supawadee Ingsriswang
Journal:  BMC Bioinformatics       Date:  2012-12-13       Impact factor: 3.169

4.  Automated extraction of chemical structure information from digital raster images.

Authors:  Jungkap Park; Gus R Rosania; Kerby A Shedden; Mandee Nguyen; Naesung Lyu; Kazuhiro Saitou
Journal:  Chem Cent J       Date:  2009-02-05       Impact factor: 4.215

Review 5.  Chemical named entities recognition: a review on approaches and applications.

Authors:  Safaa Eltyeb; Naomie Salim
Journal:  J Cheminform       Date:  2014-04-28       Impact factor: 5.514

  5 in total

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