KOPS - The Institutional Repository of the University of Konstanz

From machine learning to natural product derivatives that selectively activate transcription factor PPARgamma

From machine learning to natural product derivatives that selectively activate transcription factor PPARgamma

Cite This

Files in this item

Files Size Format View

There are no files associated with this item.

RUPP, Matthias, Timon SCHROETER, Ramona STERI, Heiko ZETTL, Ewgenij PROSCHAK, Katja HANSEN, Oliver RAU, Oliver SCHWARZ, Lutz MÜLLER-KUHRT, Gisbert SCHNEIDER, 2010. From machine learning to natural product derivatives that selectively activate transcription factor PPARgamma. In: ChemMedChem. Wiley. 5(2), pp. 191-194. ISSN 0960-894X. eISSN 1860-7187. Available under: doi: 10.1002/cmdc.200900469

@article{Rupp2010-02-01machi-53197, title={From machine learning to natural product derivatives that selectively activate transcription factor PPARgamma}, year={2010}, doi={10.1002/cmdc.200900469}, number={2}, volume={5}, issn={0960-894X}, journal={ChemMedChem}, pages={191--194}, author={Rupp, Matthias and Schroeter, Timon and Steri, Ramona and Zettl, Heiko and Proschak, Ewgenij and Hansen, Katja and Rau, Oliver and Schwarz, Oliver and Müller-Kuhrt, Lutz and Schneider, Gisbert} }

<rdf:RDF xmlns:dcterms="http://purl.org/dc/terms/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:void="http://rdfs.org/ns/void#" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/rdf/resource/123456789/53197"> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> <dc:language>eng</dc:language> <dc:contributor>Müller-Kuhrt, Lutz</dc:contributor> <dc:rights>terms-of-use</dc:rights> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2021-03-19T08:27:25Z</dc:date> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/36"/> <dc:creator>Müller-Kuhrt, Lutz</dc:creator> <dc:creator>Schwarz, Oliver</dc:creator> <dc:creator>Rupp, Matthias</dc:creator> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dc:contributor>Hansen, Katja</dc:contributor> <dc:contributor>Steri, Ramona</dc:contributor> <dc:contributor>Schneider, Gisbert</dc:contributor> <dc:contributor>Schroeter, Timon</dc:contributor> <dcterms:title>From machine learning to natural product derivatives that selectively activate transcription factor PPARgamma</dcterms:title> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/36"/> <dc:creator>Zettl, Heiko</dc:creator> <dc:creator>Schroeter, Timon</dc:creator> <dc:creator>Rau, Oliver</dc:creator> <dc:creator>Proschak, Ewgenij</dc:creator> <dc:creator>Schneider, Gisbert</dc:creator> <dcterms:abstract xml:lang="eng">Advanced kernel‐based machine learning methods enable the identification of innovative bioactive compounds with minimal experimental effort. Comparative virtual screening revealed that nonlinear models of the underlying structure–activity relationship are necessary for successful compound picking. In a proof‐of‐concept study a novel truxillic acid derivative was found to selectively activate transcription factor PPARγ.</dcterms:abstract> <dc:creator>Steri, Ramona</dc:creator> <dc:contributor>Proschak, Ewgenij</dc:contributor> <dc:contributor>Rupp, Matthias</dc:contributor> <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/> <dc:contributor>Rau, Oliver</dc:contributor> <dc:contributor>Schwarz, Oliver</dc:contributor> <dc:creator>Hansen, Katja</dc:creator> <dcterms:issued>2010-02-01</dcterms:issued> <dc:contributor>Zettl, Heiko</dc:contributor> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2021-03-19T08:27:25Z</dcterms:available> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/53197"/> </rdf:Description> </rdf:RDF>

This item appears in the following Collection(s)

Search KOPS


Browse

My Account