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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.

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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

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Date deposited: 26 Apr 2019 16:30
Last modified: 17 Mar 2024 12:20

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Contributors

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

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