Transporter assays and assay ontologies

Subtitle:useful tools for drug discovery
Authors/others:Zdrazil, Barbara; Chichester, Christine (Swiss Institute of Bioinformatics); Zander Balderud, Linda (AstraZeneca); Engkvist, Ola (AstraZeneca); Gaulton, Anna (European Bioinformatics Institute); Overington, John P (European Bioinformatics Institute)
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.

Language:English
Date of publication:6.2014
Journal title:Drug Discovery Today: Technologies
Volume:12
Pages:e47-54
Peer reviewed:true
Links:
Digital Object Identifier (DOI):http://dx.doi.org/10.1016/j.ddtec.2014.03.005
Publication Type:Article
Portal:https://ucris.univie.ac.at/portal/en/publications/transporter-assays-and-assay-ontologies(ea07b61f-e46f-4b73-8e0d-4733656026fd).html