The University of Southampton
University of Southampton Institutional Repository
Warning ePrints Soton is experiencing an issue with some file downloads not being available. We are working hard to fix this. Please bear with us.

An assessment of the translational relevance of Drosophila in drug discovery

An assessment of the translational relevance of Drosophila in drug discovery
An assessment of the translational relevance of Drosophila in drug discovery

Introduction: Drosophila melanogaster offers a powerful expedient and economical system with facile genetics. Because of the high sequence and functional conservation with human disease-associated genes, it has been cardinal in deciphering disease mechanisms at the genetic and molecular level. Drosophila are amenable to and respond well to pharmaceutical treatment which coupled to their genetic tractability has led to discovery, repositioning, and validation of a number of compounds. Areas covered: This review summarizes the generation of fly models of human diseases, their advantages and use in elucidation of human disease mechanisms. Representative studies provide examples of the utility of this system in modeling diseases and the discovery, repositioning and testing on pharmaceuticals to ameliorate them. Expert opinion: Drosophila offers a facile and economical whole animal system with many homologous organs to humans, high functional conservation and established methods of generating and validating human disease models. Nevertheless, it remains relatively underused as a drug discovery tool probably because its relevance to mammalian systems remains under question. However, recent exciting success stories using Drosophila disease models for drug screening, repositioning and validation strongly suggest that fly models should figure prominently in the drug discovery pipeline from bench to bedside.

Disease models, Drosophila, pharmaceuticals, translational relevance
1746-0441
303-313
Papanikolopoulou, Katerina
04384037-2050-4b1c-8fbc-dec099a13f42
Mudher, Amrit
ce0ccb35-ac49-4b6c-92b4-8dd5e78ac119
Skoulakis, Efthimios
7b42dfaf-57a1-464e-92ad-da3f0cd445d2
Papanikolopoulou, Katerina
04384037-2050-4b1c-8fbc-dec099a13f42
Mudher, Amrit
ce0ccb35-ac49-4b6c-92b4-8dd5e78ac119
Skoulakis, Efthimios
7b42dfaf-57a1-464e-92ad-da3f0cd445d2

Papanikolopoulou, Katerina, Mudher, Amrit and Skoulakis, Efthimios (2019) An assessment of the translational relevance of Drosophila in drug discovery. Expert Opinion on Drug Discovery, 14 (3), 303-313. (doi:10.1080/17460441.2019.1569624).

Record type: Review

Abstract

Introduction: Drosophila melanogaster offers a powerful expedient and economical system with facile genetics. Because of the high sequence and functional conservation with human disease-associated genes, it has been cardinal in deciphering disease mechanisms at the genetic and molecular level. Drosophila are amenable to and respond well to pharmaceutical treatment which coupled to their genetic tractability has led to discovery, repositioning, and validation of a number of compounds. Areas covered: This review summarizes the generation of fly models of human diseases, their advantages and use in elucidation of human disease mechanisms. Representative studies provide examples of the utility of this system in modeling diseases and the discovery, repositioning and testing on pharmaceuticals to ameliorate them. Expert opinion: Drosophila offers a facile and economical whole animal system with many homologous organs to humans, high functional conservation and established methods of generating and validating human disease models. Nevertheless, it remains relatively underused as a drug discovery tool probably because its relevance to mammalian systems remains under question. However, recent exciting success stories using Drosophila disease models for drug screening, repositioning and validation strongly suggest that fly models should figure prominently in the drug discovery pipeline from bench to bedside.

This record has no associated files available for download.

More information

Accepted/In Press date: 10 January 2019
e-pub ahead of print date: 21 January 2019
Keywords: Disease models, Drosophila, pharmaceuticals, translational relevance

Identifiers

Local EPrints ID: 430387
URI: http://eprints.soton.ac.uk/id/eprint/430387
ISSN: 1746-0441
PURE UUID: 259d7b13-976d-4d05-9a3c-3c3722096a6d

Catalogue record

Date deposited: 26 Apr 2019 16:30
Last modified: 25 Nov 2021 16:58

Export record

Altmetrics

Contributors

Author: Katerina Papanikolopoulou
Author: Amrit Mudher
Author: Efthimios Skoulakis

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×