Evidence map›Paper›PMID 28374590›Full record

ArticleJournal of proteome research2017

Binding Site Characterization of AM1336, a Novel Covalent Inverse Agonist at Human Cannabinoid 2 Receptor, Using Mass Spectrometric Analysis.

Srikrishnan Mallipeddi, Simion Kreimer, Nikolai Zvonok, Kiran Vemuri, Barry L Karger, Alexander R Ivanov, Alexandros Makriyannis

Open access · greenAbstract read
In one paragraph

Article in Journal of proteome research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

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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

7 authors at 1 institution in 2 countries.

Srikrishnan MallipeddiCenter for Drug Discovery, Northeastern University, Boston and Department of Pharmaceutical Sciences, Northeastern University , Boston, Massachusetts 02115, United States.ORCID 0000-0002-6297-1473
Simion KreimerBarnett Institute, Department of Chemistry and Chemical Biology, Northeastern University , Boston, Massachusetts 02115, United States.
Nikolai ZvonokCenter for Drug Discovery, Northeastern University, Boston and Department of Pharmaceutical Sciences, Northeastern University , Boston, Massachusetts 02115, United States.
Kiran VemuriCenter for Drug Discovery, Northeastern University, Boston and Department of Pharmaceutical Sciences, Northeastern University , Boston, Massachusetts 02115, United States.
Barry L KargerBarnett Institute, Department of Chemistry and Chemical Biology, Northeastern University , Boston, Massachusetts 02115, United States.ORCID 0000-0002-9786-0036
Alexander R IvanovBarnett Institute, Department of Chemistry and Chemical Biology, Northeastern University , Boston, Massachusetts 02115, United States.
Alexandros MakriyannisCenter for Drug Discovery, Northeastern University, Boston and Department of Pharmaceutical Sciences, Northeastern University , Boston, Massachusetts 02115, United States.
Northeastern University · US

Funding

Project 3 - In vivo pharmacology of cannabinoid receptor probesP01DA009158 · NIDA · UNIVERSITY OF CONNECTICUT STORRS · PI Alexandros Makriyannis · 1994 to 2026
$26.0M
MOLECULAR BASIS OF CANNABINOID ACITIVITYR37DA003801 · NIDA · UNIVERSITY OF CONNECTICUT STORRS · PI MAKRIYANNIS, ALEXANDROS · 1997 to 2006
$3.7M
MOLECULAR BASIS OF CANNABINOID ACTIVITYR01DA003801 · NIDA · UNIVERSITY OF CONNECTICUT STORRS · PI MAKRIYANNIS, ALEXANDROS · 1985 to 2017
$2.5M
Deep Proteomic Profiling of Rare CellsR01GM120272 · NIGMS · NORTHEASTERN UNIVERSITY · PI IVANOV, ALEXANDER R. · 2016 to 2019
$1.5M
NIDA NIH HHS P01 DA009158NIDA NIH HHS R01 DA003801NIDA NIH HHS R37 DA003801NIGMS NIH HHS R01 GM120272
6 · The paper itself

Abstract

Cannabinoid 2 receptor (CB2R), a Class-A G-protein coupled receptor (GPCR), is a promising drug target under a wide array of pathological conditions. Rational drug design has been hindered due to our poor understanding of the structural features involved in ligand binding. Binding of a high-affinity biarylpyrazole inverse agonist AM1336 to a library of the human CB2 receptor (hCB2R) cysteine-substituted mutants provided indirect evidence that two cysteines in transmembrane helix-7 (H7) were critical for the covalent attachment. We used proteomics analysis of the hCB2R with bound AM1336 to directly identify peptides with covalently attached ligand and applied in silico modeling for visualization of the ligand-receptor interactions. The hCB2R, with affinity tags (FlaghCB2His6), was produced in a baculovirus-insect cell expression system and purified as a functional receptor using immunoaffinity chromatography. Using mass spectrometry-based bottom-up proteomic analysis of the hCB2R-AM1336, we identified a peptide with AM1336 attached to the cysteine C284(7.38) in H7. The hCB2R homology model in lipid bilayer accommodated covalent attachment of AM1336 to C284(7.38), supporting both biochemical and mass spectrometric data. This work consolidates proteomics data and in silico modeling and integrates with our ligand-assisted protein structure (LAPS) experimental paradigm to assist in structure-based design of cannabinoid antagonist/inverse agonists.

Indexed as

Amino Acid MotifsAnimalsBaculoviridaeBinding SitesCannabinoid Receptor AgonistsCloning, MolecularCysteineGene ExpressionHumansLigandsMass SpectrometryModels, MolecularMutationProtein BindingProtein Conformation, alpha-HelicalProtein Interaction Domains and MotifsCannabinoid Receptor AgonistsCNR2 protein, humanCysteineLigandsPyrazolesReceptor, Cannabinoid, CB2Recombinant Proteinscannabinoid receptorGPCRligand-bindingmass-spectrometry-based proteomicsprotein structure

Identifiers

PMID28374590
PMCPMC11208095
OpenAlexW2604431268

What OpenQuestion holds

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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.