Computational Methods Aiding Early-Stage Drug Design (Dagstuhl Seminar 13212)

Andreas Bender; Hinrich W.H. Göhlmann; Sepp Hochreiter; Ziv Shkedy

doi:10.4230/DagRep.3.5.78

Computational Methods Aiding Early-Stage Drug Design (Dagstuhl Seminar 13212)

Andreas Bender, Hinrich W.H. Göhlmann, Sepp Hochreiter, Ziv Shkedy

Institute for Machine Learning

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings

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.

Original language	English
Title of host publication	Report from Dagstuhl Seminar 13212
Pages	78-94
Number of pages	17
Volume	3
DOIs	https://doi.org/10.4230/DagRep.3.5.78
Publication status	Published - 2013

Publication series

Name	Dagstuhl Reports

Fields of science

303 Health Sciences
304 Medical Biotechnology
305 Other Human Medicine, Health Sciences
106013 Genetics
106041 Structural biology
102 Computer Sciences
101029 Mathematical statistics
102001 Artificial intelligence
101004 Biomathematics
102015 Information systems
102018 Artificial neural networks
106002 Biochemistry
106023 Molecular biology
301 Medical-Theoretical Sciences, Pharmacy
302 Clinical Medicine
106005 Bioinformatics

JKU Focus areas

Computation in Informatics and Mathematics
Nano-, Bio- and Polymer-Systems: From Structure to Function

Access to Document

10.4230/DagRep.3.5.78

Cite this

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title = "Computational Methods Aiding Early-Stage Drug Design (Dagstuhl Seminar 13212)",

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.",

author = "Andreas Bender and G{\"o}hlmann, {Hinrich W.H.} and Sepp Hochreiter and Ziv Shkedy",

year = "2013",

doi = "10.4230/DagRep.3.5.78",

language = "English",

volume = "3",

series = "Dagstuhl Reports",

pages = "78--94",

booktitle = "Report from Dagstuhl Seminar 13212",

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T1 - Computational Methods Aiding Early-Stage Drug Design (Dagstuhl Seminar 13212)

AU - Bender, Andreas

AU - Göhlmann, Hinrich W.H.

AU - Hochreiter, Sepp

AU - Shkedy, Ziv

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

UR - http://www.bioinf.jku.at/publications/

U2 - 10.4230/DagRep.3.5.78

DO - 10.4230/DagRep.3.5.78

M3 - Conference proceedings

VL - 3

T3 - Dagstuhl Reports

SP - 78

EP - 94

BT - Report from Dagstuhl Seminar 13212

ER -

Computational Methods Aiding Early-Stage Drug Design (Dagstuhl Seminar 13212)

Abstract

Publication series

Fields of science

JKU Focus areas

Access to Document

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