Using Network-based Approaches to Predict Ligands of Orphan Nuclear Receptors

ISSN: 2212-392X (Online)
ISSN: 1574-8936 (Print)


Volume 9, 5 Issues, 2014


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Current Bioinformatics

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Editor-in-Chief:
Alessandro Giuliani
Istituto Superiore di Sanitá (Italian NIH) Environment and Health Dept
Roma
Italy


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Using Network-based Approaches to Predict Ligands of Orphan Nuclear Receptors

Author(s): Zhernan Jiang, Ran Tao, Lei Du, Weiming Yu and Junxiang Wang


Abstract

Orphan nuclear receptors (oNRs) provide huge opportunities for the discovery of new drug targets. Identifying novel and perhaps unexpected types of ligands for oNRs may gain insight into potentially new principles of physiology. Recently, the network-based approaches are playing an increasingly important role in identifying and validating novel ligands for nuclear receptors. This review describes current progresses in network-based approaches for ligand prediction and discusses their strengths and some of the underlying difficulties.


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Article Details

Volume: 8
First Page:
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DOI: 10.2174/15748936113089990009
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