Dynamic and Kinetic Elements of μ-Opioid Receptor Functional Selectivity

Abhijeet Kapoor, Gerard Martinez-Rosell, Davide Provasi, Gianni De Fabritiis, Marta Filizola

Research output: Contribution to journalArticlepeer-review

34 Scopus citations

Abstract

While the therapeutic effect of opioids analgesics is mainly attributed to μ-opioid receptor (MOR) activation leading to G protein signaling, their side effects have mostly been linked to β-arrestin signaling. To shed light on the dynamic and kinetic elements underlying MOR functional selectivity, we carried out close to half millisecond high-throughput molecular dynamics simulations of MOR bound to a classical opioid drug (morphine) or a potent G protein-biased agonist (TRV-130). Statistical analyses of Markov state models built using this large simulation dataset combined with information theory enabled, for the first time: a) Identification of four distinct metastable regions along the activation pathway, b) Kinetic evidence of a different dynamic behavior of the receptor bound to a classical or G protein-biased opioid agonist, c) Identification of kinetically distinct conformational states to be used for the rational design of functionally selective ligands that may eventually be developed into improved drugs; d) Characterization of multiple activation/deactivation pathways of MOR, and e) Suggestion from calculated transition timescales that MOR conformational changes are not the rate-limiting step in receptor activation.

Original languageEnglish
Article number11255
JournalScientific Reports
Volume7
Issue number1
DOIs
StatePublished - 1 Dec 2017

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