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Linking the Resource Description Framework to cheminformatics and proteochemometrics

Willighagen, Egon, 1974- (author)
Uppsala universitet,Institutionen för farmaceutisk biovetenskap,Wikberg group
Alvarsson, Jonathan (author)
Uppsala universitet,Institutionen för farmaceutisk biovetenskap,Farmaceutisk bioinformatik
Andersson, Annsofie (author)
Uppsala universitet,Institutionen för farmaceutisk biovetenskap,Cancerfarmakologi och beräkningsmedicin,Onkologisk farmakologi och informatik
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Eklund, Martin (author)
Uppsala universitet,Institutionen för farmaceutisk biovetenskap,Farmaceutisk bioinformatik; Wikberg group
Lampa, Samuel (author)
Uppsala universitet,Institutionen för farmaceutisk biovetenskap
Lapins, Maris (author)
Uppsala universitet,Institutionen för farmaceutisk biovetenskap,Farmaceutisk bioinformatik
Spjuth, Ola (author)
Uppsala universitet,Institutionen för farmaceutisk biovetenskap,Farmaceutisk bioinformatik
Wikberg, Jarl (author)
Uppsala universitet,Institutionen för farmaceutisk biovetenskap,Farmaceutisk bioinformatik
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 (creator_code:org_t)
2011
2011
English.
In: Journal of Biomedical Semantics. - 2041-1480. ; 2:Suppl 1, s. 6-
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • BACKGROUND :Semantic web technologies are finding their way into the life sciences. Ontologies and semantic markup have already been used for more than a decade in molecular sciences, but have not found widespread use yet. The semantic web technology Resource Description Framework (RDF) and related methods show to be sufficiently versatile to change that situation.RESULTS :The work presented here focuses on linking RDF approaches to existing molecular chemometrics fields, including cheminformatics, QSAR modeling and proteochemometrics. Applications are presented that link RDF technologies to methods from statistics and cheminformatics, including data aggregation, visualization, chemical identification, and property prediction. They demonstrate how this can be done using various existing RDF standards and cheminformatics libraries. For example, we show how IC50 and Ki values are modeled for a number of biological targets using data from the ChEMBL database.CONCLUSIONS :We have shown that existing RDF standards can suitably be integrated into existing molecular chemometrics methods. Platforms that unite these technologies, like Bioclipse, makes this even simpler and more transparent. Being able to create and share workflows that integrate data aggregation and analysis (visual and statistical) is beneficial to interoperability and reproducibility. The current work shows that RDF approaches are sufficiently powerful to support molecular chemometrics workflows.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Bioinformatik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Bioinformatics (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Telekommunikation (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Telecommunications (hsv//eng)
NATURVETENSKAP  -- Matematik -- Sannolikhetsteori och statistik (hsv//swe)
NATURAL SCIENCES  -- Mathematics -- Probability Theory and Statistics (hsv//eng)
NATURVETENSKAP  -- Biologi -- Bioinformatik och systembiologi (hsv//swe)
NATURAL SCIENCES  -- Biological Sciences -- Bioinformatics and Systems Biology (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Medicinska och farmaceutiska grundvetenskaper -- Farmakologi och toxikologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Basic Medicine -- Pharmacology and Toxicology (hsv//eng)

Keyword

cheminformatics
bioclipse
chembl
chemometrics
Bioinformatics
Bioinformatik
Datatransmission
Datatransmission
Mathematical statistics
Matematisk statistik
Bioinformatics
Bioinformatik
Pharmacology
Farmakologi
Kemi med inriktning mot analytisk kemi
Chemistry with specialization in Analytical Chemistry

Publication and Content Type

ref (subject category)
art (subject category)

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