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Location Bias as Emerging Paradigm in GPCR Biology and Drug Discovery
GPCRs are the largest receptor family that are involved in virtually all biological processes. Pharmacologically, they are highly druggable targets, as they cover more than 40% of all drugs in the market. Our knowledge of biased signaling provided insight into pharmacology vastly improving drug desi...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7569339/ https://www.ncbi.nlm.nih.gov/pubmed/33103080 http://dx.doi.org/10.1016/j.isci.2020.101643 |
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author | Mohammad Nezhady, Mohammad Ali Rivera, José Carlos Chemtob, Sylvain |
author_facet | Mohammad Nezhady, Mohammad Ali Rivera, José Carlos Chemtob, Sylvain |
author_sort | Mohammad Nezhady, Mohammad Ali |
collection | PubMed |
description | GPCRs are the largest receptor family that are involved in virtually all biological processes. Pharmacologically, they are highly druggable targets, as they cover more than 40% of all drugs in the market. Our knowledge of biased signaling provided insight into pharmacology vastly improving drug design to avoid unwanted effects and achieve higher efficacy and selectivity. However, yet another feature of GPCR biology is left largely unexplored, location bias. Recent developments in this field show promising avenues for evolution of new class of pharmaceuticals with greater potential for higher level of precision medicine. Further consideration and understanding of this phenomenon with deep biochemical and molecular insights would pave the road to success. In this review, we critically analyze this perspective and discuss new avenues of investigation. |
format | Online Article Text |
id | pubmed-7569339 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-75693392020-10-22 Location Bias as Emerging Paradigm in GPCR Biology and Drug Discovery Mohammad Nezhady, Mohammad Ali Rivera, José Carlos Chemtob, Sylvain iScience Review GPCRs are the largest receptor family that are involved in virtually all biological processes. Pharmacologically, they are highly druggable targets, as they cover more than 40% of all drugs in the market. Our knowledge of biased signaling provided insight into pharmacology vastly improving drug design to avoid unwanted effects and achieve higher efficacy and selectivity. However, yet another feature of GPCR biology is left largely unexplored, location bias. Recent developments in this field show promising avenues for evolution of new class of pharmaceuticals with greater potential for higher level of precision medicine. Further consideration and understanding of this phenomenon with deep biochemical and molecular insights would pave the road to success. In this review, we critically analyze this perspective and discuss new avenues of investigation. Elsevier 2020-10-07 /pmc/articles/PMC7569339/ /pubmed/33103080 http://dx.doi.org/10.1016/j.isci.2020.101643 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Review Mohammad Nezhady, Mohammad Ali Rivera, José Carlos Chemtob, Sylvain Location Bias as Emerging Paradigm in GPCR Biology and Drug Discovery |
title | Location Bias as Emerging Paradigm in GPCR Biology and Drug Discovery |
title_full | Location Bias as Emerging Paradigm in GPCR Biology and Drug Discovery |
title_fullStr | Location Bias as Emerging Paradigm in GPCR Biology and Drug Discovery |
title_full_unstemmed | Location Bias as Emerging Paradigm in GPCR Biology and Drug Discovery |
title_short | Location Bias as Emerging Paradigm in GPCR Biology and Drug Discovery |
title_sort | location bias as emerging paradigm in gpcr biology and drug discovery |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7569339/ https://www.ncbi.nlm.nih.gov/pubmed/33103080 http://dx.doi.org/10.1016/j.isci.2020.101643 |
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