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DOI: 10.4230/DagRep.3.5.78
Computational Methods Aiding Early-Stage Drug Design (Dagstuhl Seminar 13212)

Authors: Andreas Bender, Hinrich Göhlmann, Sepp Hochreiter, and Ziv Shkedy

Published in: Dagstuhl Reports, Volume 3, Issue 5 (2013)

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 13212 "Computational Methods Aiding Early-Stage Drug Design". The aim of the seminar was to bring scientists working on various aspects of drug discovery, genomic technologies and computational science (e.g., bioinformatics, chemoinformatics, machine learning, and statistics) together to explore how high dimensional data sets created by genomic technologies can be integrated to identify functional manifestations of drug actions on living cells early in the drug discovery process.
Cite as

Andreas Bender, Hinrich Göhlmann, Sepp Hochreiter, and Ziv Shkedy. Computational Methods Aiding Early-Stage Drug Design (Dagstuhl Seminar 13212). In Dagstuhl Reports, Volume 3, Issue 5, pp. 78-94, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2013)

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@Article{bender_et_al:DagRep.3.5.78,
  author =	{Bender, Andreas and G\"{o}hlmann, Hinrich and Hochreiter, Sepp and Shkedy, Ziv},
  title =	{{Computational Methods Aiding Early-Stage Drug Design (Dagstuhl Seminar 13212)}},
  pages =	{78--94},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2013},
  volume =	{3},
  number =	{5},
  editor =	{Bender, Andreas and G\"{o}hlmann, Hinrich and Hochreiter, Sepp and Shkedy, Ziv},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.3.5.78},
  URN =		{urn:nbn:de:0030-drops-41791},
  doi =		{10.4230/DagRep.3.5.78},
  annote =	{Keywords: Bioinformatics, Chemoinformatics, Machine learning, Statistics, Interdisciplinary applications}
}
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