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Use of Computational Functional Genomics in Drug Discovery and Repurposing for Analgesic Indications

The novel research area of functional genomics investigates biochemical, cellular, or physiological properties of gene products with the goal of understanding the relationship between the genome and the phenotype. These developments have made analgesic drug research a data‐rich discipline mastered o...

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Detalles Bibliográficos
Autores principales: Lötsch, Jörn, Kringel, Dario
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6001421/
https://www.ncbi.nlm.nih.gov/pubmed/29350398
http://dx.doi.org/10.1002/cpt.960
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author Lötsch, Jörn
Kringel, Dario
author_facet Lötsch, Jörn
Kringel, Dario
author_sort Lötsch, Jörn
collection PubMed
description The novel research area of functional genomics investigates biochemical, cellular, or physiological properties of gene products with the goal of understanding the relationship between the genome and the phenotype. These developments have made analgesic drug research a data‐rich discipline mastered only by making use of parallel developments in computer science, including the establishment of knowledge bases, mining methods for big data, machine‐learning, and artificial intelligence, (Table 1) which will be exemplarily introduced in the following.
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spelling pubmed-60014212018-06-21 Use of Computational Functional Genomics in Drug Discovery and Repurposing for Analgesic Indications Lötsch, Jörn Kringel, Dario Clin Pharmacol Ther Discovery & Development The novel research area of functional genomics investigates biochemical, cellular, or physiological properties of gene products with the goal of understanding the relationship between the genome and the phenotype. These developments have made analgesic drug research a data‐rich discipline mastered only by making use of parallel developments in computer science, including the establishment of knowledge bases, mining methods for big data, machine‐learning, and artificial intelligence, (Table 1) which will be exemplarily introduced in the following. John Wiley and Sons Inc. 2018-01-19 2018-06 /pmc/articles/PMC6001421/ /pubmed/29350398 http://dx.doi.org/10.1002/cpt.960 Text en © 2018 The Authors Clinical Pharmacology & Therapeutics published by Wiley Periodicals, Inc. on behalf of American Society for Clinical Pharmacology and Therapeutics This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Discovery & Development
Lötsch, Jörn
Kringel, Dario
Use of Computational Functional Genomics in Drug Discovery and Repurposing for Analgesic Indications
title Use of Computational Functional Genomics in Drug Discovery and Repurposing for Analgesic Indications
title_full Use of Computational Functional Genomics in Drug Discovery and Repurposing for Analgesic Indications
title_fullStr Use of Computational Functional Genomics in Drug Discovery and Repurposing for Analgesic Indications
title_full_unstemmed Use of Computational Functional Genomics in Drug Discovery and Repurposing for Analgesic Indications
title_short Use of Computational Functional Genomics in Drug Discovery and Repurposing for Analgesic Indications
title_sort use of computational functional genomics in drug discovery and repurposing for analgesic indications
topic Discovery & Development
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6001421/
https://www.ncbi.nlm.nih.gov/pubmed/29350398
http://dx.doi.org/10.1002/cpt.960
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