Applications of Integrated Data Mining Methods to Exploring Natural Product Space for Acetylcholinesterase Inhibitors

Daniela Schuster, Lisa Kern, Dimitar P. Hristozov, Lothar Terfloth, Bruno Bienfait, Christian Laggner, Johannes Kirchmair, Ulrike Grienke, Gerhard Wolber, Thierry Langer, Hermann Stuppner, Johann Gasteiger, Judith M. Rollinger

Publications: Contribution to journalArticlePeer Reviewed

Original languageEnglish
Pages (from-to)54-66
Number of pages13
JournalCombinatorial Chemistry & High Throughput Screening
Volume13
Issue number1
DOIs
Publication statusPublished - Jan 2010
Externally publishedYes

Funding

This study was granted by a young talents grant of the Leopold-Franzens-University Innsbruck (J.M.R.) and by the Austrian Science Fund (FWF, project No. P18379). We also thank Philipp Schuster for assistance with preparing the manuscript.

Austrian Fields of Science 2012

  • 301207 Pharmaceutical chemistry

Keywords

  • Natural products
  • drug discovery
  • acetylcholinesterase
  • virtual screening
  • counterpropagation network
  • spinne
  • novelty detection
  • ACTIVE-SITE GORGE
  • TORPEDO-CALIFORNICA ACETYLCHOLINESTERASE
  • IN-SILICO PHARMACOLOGY
  • NOVELTY DETECTION
  • NEURAL-NETWORKS
  • DRUG DISCOVERY
  • COUNTERPROPAGATION NETWORKS
  • INFRARED-SPECTRA
  • PROTEIN
  • BINDING

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