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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...

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Autores principales: Chandran, Uma, Mehendale, Neelay, Patil, Saniya, Chaguturu, Rathnam, Patwardhan, Bhushan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2017
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.
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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
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