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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
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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. |
format | Online Article Text |
id | pubmed-6001421 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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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