Evidence map›Paper›PMID 35885221›Full record

ArticleEntropy (Basel, Switzerland)2022

A Statistical Journey through the Topological Determinants of the β2 Adrenergic Receptor Dynamics.

Luisa Di Paola, Humanath Poudel, Mauro Parise, Alessandro Giuliani, David M Leitner

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. PyPCN: protein contact networks in PyMOL.Bioinformatics (Oxford, England) · 2023
    Article
  2. Calculation of centralities in protein kinase A.Proceedings of the National Academy of Sciences of the United States of America · 2022
    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

5 authors.

Luisa Di PaolaUnit of Chemical-Physics Fundamentals in Chemical Engineering, Department of Engineering, Università Campus Bio-Medico di Roma, Via Álvaro del Portillo 21, 00128 Rome, Italy.ORCID 0000-0001-5329-8689
Humanath PoudelDepartment of Chemistry, University of Nevada, Reno, NV 89557, USA.
Mauro PariseUnit of Electrotechnics, Department of Engineering, Università Campus Bio-Medico di Roma, Via Álvaro del Portillo 21, 00128 Rome, Italy.ORCID 0000-0002-5479-7794
Alessandro GiulianiEnvironment and Health Department, Istituto Superiore di Sanità, 00161 Rome, Italy.ORCID 0000-0002-4640-804X
David M LeitnerDepartment of Chemistry, University of Nevada, Reno, NV 89557, USA.ORCID 0000-0002-3105-818X

Funding

National Science Foundation CHE-1854271
6 · The paper itself

Abstract

Activation of G-protein-coupled receptors (GPCRs) is mediated by molecular switches throughout the transmembrane region of the receptor. In this work, we continued along the path of a previous computational study wherein energy transport in the β2 Adrenergic Receptor (β2-AR) was examined and allosteric switches were identified in the molecular structure through the reorganization of energy transport networks during activation. In this work, we further investigated the allosteric properties of β2-AR, using Protein Contact Networks (PCNs). In this paper, we report an extensive statistical analysis of the topological and structural properties of β2-AR along its molecular dynamics trajectory to identify the activation pattern of this molecular system. The results show a distinct character to the activation that both helps to understand the allosteric switching previously identified and confirms the relevance of the network formalism to uncover relevant functional features of protein molecules.

Indexed as

allosteric switchdynamical cross-correlation matrixGPCRsMultivariate Statistical AnalysisProtein Contact Networksβ2 adrenergic receptor

Identifiers

PMID35885221
PMCPMC9318934

What OpenQuestion holds

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Registered trials

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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.