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Collaboration for rare disease drug discovery research

Rare disease research has reached a tipping point, with the confluence of scientific and technologic developments that if appropriately harnessed, could lead to key breakthroughs and treatments for this set of devastating disorders. Industry-wide trends have revealed that the traditional drug discov...

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Autores principales: Litterman, Nadia K., Rhee, Michele, Swinney, David C., Ekins, Sean
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000Research 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4314660/
https://www.ncbi.nlm.nih.gov/pubmed/25685324
http://dx.doi.org/10.12688/f1000research.5564.1
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author Litterman, Nadia K.
Rhee, Michele
Swinney, David C.
Ekins, Sean
author_facet Litterman, Nadia K.
Rhee, Michele
Swinney, David C.
Ekins, Sean
author_sort Litterman, Nadia K.
collection PubMed
description Rare disease research has reached a tipping point, with the confluence of scientific and technologic developments that if appropriately harnessed, could lead to key breakthroughs and treatments for this set of devastating disorders. Industry-wide trends have revealed that the traditional drug discovery research and development (R&D) model is no longer viable, and drug companies are evolving their approach. Rather than only pursue blockbuster therapeutics for heterogeneous, common diseases, drug companies have increasingly begun to shift their focus to rare diseases. In academia, advances in genetics analyses and disease mechanisms have allowed scientific understanding to mature, but the lack of funding and translational capability severely limits the rare disease research that leads to clinical trials. Simultaneously, there is a movement towards increased research collaboration, more data sharing, and heightened engagement and active involvement by patients, advocates, and foundations. The growth in networks and social networking tools presents an opportunity to help reach other patients but also find researchers and build collaborations. The growth of collaborative software that can enable researchers to share their data could also enable rare disease patients and foundations to manage their portfolio of funded projects for developing new therapeutics and suggest drug repurposing opportunities. Still there are many thousands of diseases without treatments and with only fragmented research efforts. We will describe some recent progress in several rare diseases used as examples and propose how collaborations could be facilitated. We propose that the development of a center of excellence that integrates and shares informatics resources for rare diseases sponsored by all of the stakeholders would help foster these initiatives.
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spelling pubmed-43146602015-02-13 Collaboration for rare disease drug discovery research Litterman, Nadia K. Rhee, Michele Swinney, David C. Ekins, Sean F1000Res Opinion Article Rare disease research has reached a tipping point, with the confluence of scientific and technologic developments that if appropriately harnessed, could lead to key breakthroughs and treatments for this set of devastating disorders. Industry-wide trends have revealed that the traditional drug discovery research and development (R&D) model is no longer viable, and drug companies are evolving their approach. Rather than only pursue blockbuster therapeutics for heterogeneous, common diseases, drug companies have increasingly begun to shift their focus to rare diseases. In academia, advances in genetics analyses and disease mechanisms have allowed scientific understanding to mature, but the lack of funding and translational capability severely limits the rare disease research that leads to clinical trials. Simultaneously, there is a movement towards increased research collaboration, more data sharing, and heightened engagement and active involvement by patients, advocates, and foundations. The growth in networks and social networking tools presents an opportunity to help reach other patients but also find researchers and build collaborations. The growth of collaborative software that can enable researchers to share their data could also enable rare disease patients and foundations to manage their portfolio of funded projects for developing new therapeutics and suggest drug repurposing opportunities. Still there are many thousands of diseases without treatments and with only fragmented research efforts. We will describe some recent progress in several rare diseases used as examples and propose how collaborations could be facilitated. We propose that the development of a center of excellence that integrates and shares informatics resources for rare diseases sponsored by all of the stakeholders would help foster these initiatives. F1000Research 2014-10-31 /pmc/articles/PMC4314660/ /pubmed/25685324 http://dx.doi.org/10.12688/f1000research.5564.1 Text en Copyright: © 2014 Litterman NK et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/publicdomain/zero/1.0/ Data associated with the article are available under the terms of the Creative Commons Zero "No rights reserved" data waiver (CC0 1.0 Public domain dedication).
spellingShingle Opinion Article
Litterman, Nadia K.
Rhee, Michele
Swinney, David C.
Ekins, Sean
Collaboration for rare disease drug discovery research
title Collaboration for rare disease drug discovery research
title_full Collaboration for rare disease drug discovery research
title_fullStr Collaboration for rare disease drug discovery research
title_full_unstemmed Collaboration for rare disease drug discovery research
title_short Collaboration for rare disease drug discovery research
title_sort collaboration for rare disease drug discovery research
topic Opinion Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4314660/
https://www.ncbi.nlm.nih.gov/pubmed/25685324
http://dx.doi.org/10.12688/f1000research.5564.1
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