Literature DB >> 25027375

Transporter assays and assay ontologies: useful tools for drug discovery.

Barbara Zdrazil1, Christine Chichester2, Linda Zander Balderud3, Ola Engkvist3, Anna Gaulton4, John P Overington4.   

Abstract

Transport proteins represent an eminent class of drug targets and ADMET (absorption, distribution, metabolism, excretion, toxicity) associated genes. There exists a large number of distinct activity assays for transport proteins, depending on not only the measurement needed (e.g. transport activity, strength of ligand–protein interaction), but also due to heterogeneous assay setups used by different research groups. Efforts to systematically organize this (divergent) bioassay data have large potential impact in Public-Private partnership and conventional commercial drug discovery. In this short review, we highlight some of the frequently used high-throughput assays for transport proteins, and we discuss emerging assay ontologies and their application to this field. Focusing on human P-glycoprotein (Multidrug resistance protein 1; gene name: ABCB1, MDR1), we exemplify how annotation of bioassay data per target class could improve and add to existing ontologies, and we propose to include an additional layer of metadata supporting data fusion across different bioassays.

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Year:  2014        PMID: 25027375     DOI: 10.1016/j.ddtec.2014.03.005

Source DB:  PubMed          Journal:  Drug Discov Today Technol        ISSN: 1740-6749


  2 in total

Review 1.  How Open Data Shapes In Silico Transporter Modeling.

Authors:  Floriane Montanari; Barbara Zdrazil
Journal:  Molecules       Date:  2017-03-07       Impact factor: 4.411

2.  Empowering pharmacoinformatics by linked life science data.

Authors:  Daria Goldmann; Barbara Zdrazil; Daniela Digles; Gerhard F Ecker
Journal:  J Comput Aided Mol Des       Date:  2016-11-09       Impact factor: 4.179

  2 in total

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