dc.contributor.author
Thies, Arne
dc.contributor.author
Sunkara, Vikram
dc.contributor.author
Ray, Sourav
dc.contributor.author
Wulkow, Hanna
dc.contributor.author
Celik, M. Özgür
dc.contributor.author
Yergöz, Fatih
dc.contributor.author
Schütte, Christof
dc.contributor.author
Stein, Christoph
dc.contributor.author
Weber, Marcus
dc.contributor.author
Winkelmann, Stefanie
dc.date.accessioned
2024-11-12T12:08:21Z
dc.date.available
2024-11-12T12:08:21Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/45633
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-45346
dc.description.abstract
We previously reported the successful design, synthesis and testing of the prototype opioid painkiller NFEPP that does not elicit adverse side effects. The design process of NFEPP was based on mathematical modelling of extracellular interactions between G-protein coupled receptors (GPCRs) and ligands, recognizing that GPCRs function differently under pathological versus healthy conditions. We now present an additional and novel stochastic model of GPCR function that includes intracellular dissociation of G-protein subunits and modulation of plasma membrane calcium channels and their dependence on parameters of inflamed and healthy tissue (pH, radicals). The model is validated against in vitro experimental data for the ligands NFEPP and fentanyl at different pH values and radical concentrations. We observe markedly reduced binding affinity and calcium channel inhibition for NFEPP at normal pH compared to lower pH, in contrast to the effect of fentanyl. For increasing radical concentrations, we find enhanced constitutive G-protein activation but reduced ligand binding affinity. Assessing the different effects, the results suggest that, compared to radicals, low pH is a more important determinant of overall GPCR function in an inflamed environment. Future drug design efforts should take this into account.
en
dc.format.extent
12 Seiten
dc.rights
This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
Cell biology
en
dc.subject
Computational biology and bioinformatics
en
dc.subject
Drug discovery
en
dc.subject.ddc
500 Naturwissenschaften und Mathematik::570 Biowissenschaften; Biologie::570 Biowissenschaften; Biologie
dc.title
Modelling altered signalling of G-protein coupled receptors in inflamed environment to advance drug design
dc.type
Wissenschaftlicher Artikel
dc.date.updated
2024-11-12T09:02:18Z
dcterms.bibliographicCitation.doi
10.1038/s41598-023-27699-w
dcterms.bibliographicCitation.journaltitle
Scientific Reports
dcterms.bibliographicCitation.number
1
dcterms.bibliographicCitation.volume
13
dcterms.bibliographicCitation.url
https://doi.org/10.1038/s41598-023-27699-w
refubium.affiliation
Mathematik und Informatik
refubium.affiliation.other
Institut für Mathematik
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.isPartOf.eissn
2045-2322
refubium.resourceType.provider
DeepGreen