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Network Pharmacology
The one-drug/one-target/one-disease approach to drug discovery is presently facing many challenges of safety, efficacy, and sustainability. Network biology and polypharmacology approaches gained appreciation recently as methods for omics data integration and multitarget drug development, respectivel...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7148629/ http://dx.doi.org/10.1016/B978-0-12-801814-9.00005-2 |
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author | Chandran, Uma Mehendale, Neelay Patil, Saniya Chaguturu, Rathnam Patwardhan, Bhushan |
author_facet | Chandran, Uma Mehendale, Neelay Patil, Saniya Chaguturu, Rathnam Patwardhan, Bhushan |
author_sort | Chandran, Uma |
collection | PubMed |
description | The one-drug/one-target/one-disease approach to drug discovery is presently facing many challenges of safety, efficacy, and sustainability. Network biology and polypharmacology approaches gained appreciation recently as methods for omics data integration and multitarget drug development, respectively. The combination of these two approaches created a novel paradigm called network pharmacology (NP) that looks at the effect of drugs on both the interactome and the diseasome level. Ayurveda, the traditional system of Indian medicine, uses intelligent formulations containing multiple ingredients and multiple bioactive compounds; however, the scientific rationale and mechanisms remain largely unexplored. NP approaches can serve as a valuable tool for evidence-based Ayurveda to understand the medicines’ putative actions, indications, and mechanisms. This chapter discusses NP and its potential to explore traditional medicine systems to overcome the drug discovery impasse. |
format | Online Article Text |
id | pubmed-7148629 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
record_format | MEDLINE/PubMed |
spelling | pubmed-71486292020-04-13 Network Pharmacology Chandran, Uma Mehendale, Neelay Patil, Saniya Chaguturu, Rathnam Patwardhan, Bhushan Innovative Approaches in Drug Discovery Article The one-drug/one-target/one-disease approach to drug discovery is presently facing many challenges of safety, efficacy, and sustainability. Network biology and polypharmacology approaches gained appreciation recently as methods for omics data integration and multitarget drug development, respectively. The combination of these two approaches created a novel paradigm called network pharmacology (NP) that looks at the effect of drugs on both the interactome and the diseasome level. Ayurveda, the traditional system of Indian medicine, uses intelligent formulations containing multiple ingredients and multiple bioactive compounds; however, the scientific rationale and mechanisms remain largely unexplored. NP approaches can serve as a valuable tool for evidence-based Ayurveda to understand the medicines’ putative actions, indications, and mechanisms. This chapter discusses NP and its potential to explore traditional medicine systems to overcome the drug discovery impasse. 2017 2016-10-14 /pmc/articles/PMC7148629/ http://dx.doi.org/10.1016/B978-0-12-801814-9.00005-2 Text en Copyright © 2017 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Chandran, Uma Mehendale, Neelay Patil, Saniya Chaguturu, Rathnam Patwardhan, Bhushan Network Pharmacology |
title | Network Pharmacology |
title_full | Network Pharmacology |
title_fullStr | Network Pharmacology |
title_full_unstemmed | Network Pharmacology |
title_short | Network Pharmacology |
title_sort | network pharmacology |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7148629/ http://dx.doi.org/10.1016/B978-0-12-801814-9.00005-2 |
work_keys_str_mv | AT chandranuma networkpharmacology AT mehendaleneelay networkpharmacology AT patilsaniya networkpharmacology AT chagutururathnam networkpharmacology AT patwardhanbhushan networkpharmacology |