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Empowering pharmacoinformatics by linked life science data.

ABSTRACT: With the public availability of large data sources such as ChEMBLdb and the Open PHACTS Discovery Platform, retrieval of data sets for certain protein targets of interest with consistent assay conditions is no longer a time consuming process. Especially the use of workflow engines such as KNIME or Pipeline Pilot allows complex queries and enables to simultaneously search for several targets. Data can then directly be used as input to various ligand- and structure-based studies. In this contribution, using in-house projects on P-gp inhibition, transporter selectivity, and TRPV1 modulation we outline how the incorporation of linked life science data in the daily execution of projects allowed to expand our approaches from conventional Hansch analysis to complex, integrated multilayer models.

SUBMITTER: Goldmann D

PROVIDER: S-EPMC5385323 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature

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Empowering pharmacoinformatics by linked life science data.

Goldmann Daria D Zdrazil Barbara B Digles Daniela D Ecker Gerhard F GF

Journal of computer-aided molecular design 20161109 3

With the public availability of large data sources such as ChEMBLdb and the Open PHACTS Discovery Platform, retrieval of data sets for certain protein targets of interest with consistent assay conditions is no longer a time consuming process. Especially the use of workflow engines such as KNIME or Pipeline Pilot allows complex queries and enables to simultaneously search for several targets. Data can then directly be used as input to various ligand- and structure-based studies. In this contribut ...[more]

PMID: 27830428

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