Evidence map›Paper›PMID 34681177›Full record

ArticlePharmaceuticals (Basel, Switzerland)2021

The Novel Application of Geometric Morphometrics with Principal Component Analysis to Existing G Protein-Coupled Receptor (GPCR) Structures.

Daniel N Wiseman, Nikita Samra, María Monserrat Román Lara, Samantha C Penrice, Alan D Goddard

Open access · goldAbstract read
In one paragraph

Article in Pharmaceuticals (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Special Issue "GPCRs: Ligands and beyond 2022".Pharmaceuticals (Basel, Switzerland) · 2022
    Article
  5. Review
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 2 institutions in 1 country.

Daniel N WisemanSchool of Biosciences, College of Health and Life Sciences, Aston University, Birmingham B4 7ET, UK.
Nikita SamraSchool of Biosciences, College of Health and Life Sciences, Aston University, Birmingham B4 7ET, UK.
María Monserrat Román LaraSchool of Biosciences, College of Health and Life Sciences, Aston University, Birmingham B4 7ET, UK.
Samantha C PenriceSchool of Technology, BPP University, BPP House, Aldine Place, 142-144 Uxbridge Road, London W12 8AA, UK.
Alan D GoddardSchool of Biosciences, College of Health and Life Sciences, Aston University, Birmingham B4 7ET, UK.ORCID 0000-0003-4950-7470
Aston University · GBBPP University · GB

Funding

Aston University NABiotechnology and Biological Sciences Research Council BB/R02152X/1Consejo Nacional de Ciencia y Tecnología 2018-000024-01EXTF-00053ERACoBioTech MeMBrane project grant agreement: 722361
6 · The paper itself

Abstract

The G protein-coupled receptor (GPCR) superfamily is a large group of membrane proteins which, because of their vast involvement in cell signalling pathways, are implicated in a plethora of disease states and are therefore considered to be key drug targets. Despite advances in techniques to study these receptors, current prophylaxis is often limited due to the challenging nature of their dynamic, complex structures. Greater knowledge and understanding of their intricate structural rearrangements will therefore undoubtedly aid structure-based drug design against GPCRs. Disciplines such as anthropology and palaeontology often use geometric morphometrics to measure variation between shapes and we have therefore applied this technique to analyse GPCR structures in a three-dimensional manner, using principal component analysis. Our aim was to create a novel system able to discriminate between GPCR structures and discover variation between them, correlated with a variety of receptor characteristics. This was conducted by assessing shape changes at the extra- and intracellular faces of the transmembrane helix bundle, analysing the XYZ coordinates of the amino acids at those positions. We have demonstrated that GPCR structures can be classified based on characteristics such as activation state, bound ligands and fusion proteins, with the most significant results focussed at the intracellular face. Conversely, our analyses provide evidence that thermostabilising mutations do not cause significant differences when compared to non-mutated GPCRs. We believe that this is the first time geometric morphometrics has been applied to membrane proteins on this scale, and believe it can be used as a future tool in sense-checking newly resolved structures and planning experimental design.

Indexed as

activitygeometric morphometricsGPCRligandprincipal component analysisrecombinantstructurethermostabilised

Identifiers

PMID34681177
PMCPMC8541025
OpenAlexW3199283396

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.