Screening and Analysis of Possible Drugs Binding to PDGFRα: A Molecular Modeling Study.
PDGF receptor (PDGFR)
molecular docking
molecular dynamics (MD)
quantitative structure–activity relationship (QSAR)
structure-based drug design (SBDD)
systemic sclerosis (SSc)
Journal
International journal of molecular sciences
ISSN: 1422-0067
Titre abrégé: Int J Mol Sci
Pays: Switzerland
ID NLM: 101092791
Informations de publication
Date de publication:
01 Jun 2023
01 Jun 2023
Historique:
received:
28
02
2023
revised:
03
04
2023
accepted:
12
04
2023
medline:
12
6
2023
pubmed:
10
6
2023
entrez:
10
6
2023
Statut:
epublish
Résumé
The platelet-derived growth factor receptor (PDGFR) is a membrane tyrosine kinase receptor involved in several metabolic pathways, not only physiological but also pathological, as in tumor progression, immune-mediated diseases, and viral diseases. Considering this macromolecule as a druggable target for modulation/inhibition of these conditions, the aim of this work was to find new ligands or new information to design novel effective drugs. We performed an initial interaction screening with the human intracellular PDGFRα of about 7200 drugs and natural compounds contained in 5 independent databases/libraries implemented in the MTiOpenScreen web server. After the selection of 27 compounds, a structural analysis of the obtained complexes was performed. Three-dimensional quantitative structure-activity relationship (3D-QSAR) and absorption, distribution, metabolism, excretion, and toxicity (ADMET) analyses were also performed to understand the physicochemical properties of identified compounds to increase affinity and selectivity for PDGFRα. Among these 27 compounds, the drugs Bafetinib, Radotinib, Flumatinib, and Imatinib showed higher affinity for this tyrosine kinase receptor, lying in the nanomolar order, while the natural products included in this group, such as curcumin, luteolin, and epigallocatechin gallate (EGCG), showed sub-micromolar affinities. Although experimental studies are mandatory to fully understand the mechanisms behind PDGFRα inhibitors, the structural information obtained through this study could provide useful insight into the future development of more effective and targeted treatments for PDGFRα-related diseases, such as cancer and fibrosis.
Identifiants
pubmed: 37298573
pii: ijms24119623
doi: 10.3390/ijms24119623
pmc: PMC10253372
pii:
doi:
Substances chimiques
Receptor, Platelet-Derived Growth Factor alpha
EC 2.7.10.1
Imatinib Mesylate
8A1O1M485B
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Marche Biobank Project
ID : POR FESR 2014-2020
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