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Can literature analysis identify innovation drivers in drug discovery?

Drug discovery must be guided not only by medical need and commercial potential, but also by the areas in which new science is creating therapeutic opportunities, such as target identification and the understanding of disease mechanisms. To systematically identify such areas of high scientific activ...

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Detalles Bibliográficos
Autores principales: Agarwal, Pankaj, Searls, David B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7097144/
https://www.ncbi.nlm.nih.gov/pubmed/19876041
http://dx.doi.org/10.1038/nrd2973
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author Agarwal, Pankaj
Searls, David B.
author_facet Agarwal, Pankaj
Searls, David B.
author_sort Agarwal, Pankaj
collection PubMed
description Drug discovery must be guided not only by medical need and commercial potential, but also by the areas in which new science is creating therapeutic opportunities, such as target identification and the understanding of disease mechanisms. To systematically identify such areas of high scientific activity, we use bibliometrics and related data-mining methods to analyse over half a terabyte of data, including PubMed abstracts, literature citation data and patent filings. These analyses reveal trends in scientific activity related to disease studied at varying levels, down to individual genes and pathways, and provide methods to monitor areas in which scientific advances are likely to create new therapeutic opportunities. SUPPLEMENTARY INFORMATION: The online version of this article (doi:10.1038/nrd2973) contains supplementary material, which is available to authorized users.
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spelling pubmed-70971442020-03-26 Can literature analysis identify innovation drivers in drug discovery? Agarwal, Pankaj Searls, David B. Nat Rev Drug Discov Article Drug discovery must be guided not only by medical need and commercial potential, but also by the areas in which new science is creating therapeutic opportunities, such as target identification and the understanding of disease mechanisms. To systematically identify such areas of high scientific activity, we use bibliometrics and related data-mining methods to analyse over half a terabyte of data, including PubMed abstracts, literature citation data and patent filings. These analyses reveal trends in scientific activity related to disease studied at varying levels, down to individual genes and pathways, and provide methods to monitor areas in which scientific advances are likely to create new therapeutic opportunities. SUPPLEMENTARY INFORMATION: The online version of this article (doi:10.1038/nrd2973) contains supplementary material, which is available to authorized users. Nature Publishing Group UK 2009 /pmc/articles/PMC7097144/ /pubmed/19876041 http://dx.doi.org/10.1038/nrd2973 Text en © Nature Publishing Group 2009 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Agarwal, Pankaj
Searls, David B.
Can literature analysis identify innovation drivers in drug discovery?
title Can literature analysis identify innovation drivers in drug discovery?
title_full Can literature analysis identify innovation drivers in drug discovery?
title_fullStr Can literature analysis identify innovation drivers in drug discovery?
title_full_unstemmed Can literature analysis identify innovation drivers in drug discovery?
title_short Can literature analysis identify innovation drivers in drug discovery?
title_sort can literature analysis identify innovation drivers in drug discovery?
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7097144/
https://www.ncbi.nlm.nih.gov/pubmed/19876041
http://dx.doi.org/10.1038/nrd2973
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