Evidence map›Paper›PMID 37641933›Full record

ArticleThe journal of physical chemistry. B2023

Connected Component Analysis of Dynamical Perturbation Contact Networks.

Aria Gheeraert, Claire Lesieur, Victor S Batista, Laurent Vuillon, Ivan Rivalta

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The journal of physical chemistry. B, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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 at 4 institutions in 3 countries.

Aria GheeraertLaboratoire de Mathématiques (LAMA), Université Savoie Mont Blanc, CNRS, 73376 Le Bourget du Lac, France.
Claire LesieurUniv. Lyon, CNRS, INSA Lyon, Université Claude Bernard Lyon 1, Ecole Centrale de Lyon, Ampère UMR5005, Villeurbanne 69622, France.ORCID 0000-0001-9594-014X
Victor S BatistaDepartment of Chemistry, Yale University, New Haven, Connecticut 06520, United States.ORCID 0000-0002-3262-1237
Laurent VuillonLaboratoire de Mathématiques (LAMA), Université Savoie Mont Blanc, CNRS, 73376 Le Bourget du Lac, France.
Ivan RivaltaDipartimento di Chimica Industriale "Toso Montanari", Alma Mater Studiorum, Università di Bologna, Viale del Risorgimento 4, 40136 Bologna, Italy.ORCID 0000-0002-1208-602X
École Normale Supérieure de Lyon · FRCentre National de la Recherche Scientifique · FRUniversité Claude Bernard Lyon 1 · FRYale University · US

Funding

Computational and Biochemical Studies of Temperature Effects on Allostery in the Imidazole Glycerol Phosphate Synthase (IGPS) from T. maritimaR01GM106121 · NIGMS · YALE UNIVERSITY · PI BATISTA, VICTOR S, LORIA, JOSEPH P · 2014 to 2021
$2.3M
NIGMS NIH HHS R01 GM106121
6 · The paper itself

Abstract

Describing protein dynamical networks through amino acid contacts is a powerful way to analyze complex biomolecular systems. However, due to the size of the systems, identifying the relevant features of protein-weighted graphs can be a difficult task. To address this issue, we present the connected component analysis (CCA) approach that allows for fast, robust, and unbiased analysis of dynamical perturbation contact networks (DPCNs). We first illustrate the CCA method as applied to a prototypical allosteric enzyme, the imidazoleglycerol phosphate synthase (IGPS) enzyme from

Indexed as

Amino AcidsPhosphatesCluster AnalysisSaccharomyces cerevisiaeThermotoga maritimaAmino AcidsPhosphates

Identifiers

PMID37641933
PMCPMC10493978
OpenAlexW4386251829

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.