Evidence map›Paper›PMID 27778501›Full record

ArticleBiochemistry2016

How Oliceridine (TRV-130) Binds and Stabilizes a μ-Opioid Receptor Conformational State That Selectively Triggers G Protein Signaling Pathways.

Sebastian Schneider, Davide Provasi, Marta Filizola

Abstract read
In one paragraph

Article in Biochemistry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
6.1field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

42 citing papers in PubMed, 95 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Structure-Based Evolution of G Protein-Biased μ-Opioid Receptor Agonists.Angewandte Chemie (International ed. in English) · 2022
    Article
  12. Article
  13. Review
  14. Opioid Receptors and Protonation-Coupled Binding of Opioid Drugs.International journal of molecular sciences · 2021
    Review
  15. Review
  16. Encoding mu-opioid receptor biased agonism with interaction fingerprints.Journal of computer-aided molecular design · 2021
    Article
  17. How μ-opioid receptor recognizes fentanyl.Nature communications · 2021
    Article
  18. Article
  19. Article
  20. HowbioRxiv : the preprint server for biology · 2020
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Sebastian SchneiderDepartment of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai , New York, New York 10029, United States.
Davide ProvasiDepartment of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai , New York, New York 10029, United States.
Marta FilizolaDepartment of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai , New York, New York 10029, United States.
Icahn School of Medicine at Mount Sinai · US

Funding

Breakthrough Molecular Dynamics Research via an Anton2 SupercomputerR01GM116961 · NIGMS · CARNEGIE-MELLON UNIVERSITY · PI BLOOD, PHILIP D. · 2016 to 2023
$3.0M
Transforming Genomics with 5 PB Big Omics Data Engine Cray CS300-AC SupercomputerS10OD018522 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2014 to 2014
$1.9M
Dynamic Mechanisms of GPCRs Targeted by Drugs of AbuseR01DA034049 · NIDA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI FILIZOLA, MARTA · 2012 to 2016
$1.8M
Structural Aspects of Oligomerization in the Function of GPCRsK02DA026434 · NIDA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI FILIZOLA, MARTA · 2009 to 2018
$1.2M
Enhanced Molecular Dynamics Methods to Investigate GPCR Ligand BindingR21MH107053 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI FILIZOLA, MARTA · 2016 to 2017
$466k
NIDA NIH HHS K02 DA026434NIDA NIH HHS R01 DA034049NIGMS NIH HHS R01 GM116961NIH HHS S10 OD018522NIMH NIH HHS R21 MH107053
6 · The paper itself

Abstract

Substantial attention has recently been devoted to G protein-biased agonism of the μ-opioid receptor (MOR) as an ideal new mechanism for the design of analgesics devoid of serious side effects. However, designing opioids with appropriate efficacy and bias is challenging because it requires an understanding of the ligand binding process and of the allosteric modulation of the receptor. Here, we investigated these phenomena for TRV-130, a G protein-biased MOR small-molecule agonist that has been shown to exert analgesia with less respiratory depression and constipation than morphine and that is currently being evaluated in human clinical trials for acute pain management. Specifically, we carried out multimicrosecond, all-atom molecular dynamics (MD) simulations of the binding of this ligand to the activated MOR crystal structure. Analysis of >50 μs of these MD simulations provides insights into the energetically preferred binding pathway of TRV-130 and its stable pose at the orthosteric binding site of MOR. Information transfer from the TRV-130 binding pocket to the intracellular region of the receptor was also analyzed, and was compared to a similar analysis carried out on the receptor bound to the classical unbiased agonist morphine. Taken together, these studies lead to a series of testable hypotheses of ligand-receptor interactions that are expected to inform the structure-based design of improved opioid analgesics.

Indexed as

Protein ConformationSignal TransductionAmino AcidsBinding, CompetitiveBinding SitesCrystallizationHumansKineticsLigandsModels, MolecularMolecular Dynamics SimulationMolecular StructureProtein DomainsProtein StabilityReceptors, Opioid, muSpiro Compounds((3-methoxythiophen-2-yl)methyl)((2-(9-(pyridin-2-yl)-6-oxaspiro(4.5)decan-9-yl)ethyl))amineAmino AcidsLigandsOPRM1 protein, humanReceptors, Opioid, muSpiro CompoundsThiophenes

Identifiers

PMID27778501
PMCPMC5745009
OpenAlexW2535112051

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.