Abstract

IMPHY000797 derivatives have been well known for their efficacy in various diseases. Moreover, IMPHY000797 derivatives have been found to modulate such genes involved in multiple neurological disorders. Hence, this study seeks to identify such genes and the probable molecular mechanism that could be involved in the pathogenesis of Parkinson’s disease. The study utilized various biological tools such as DisGeNET, STRING, Swiss target predictor, Cytoscape, AutoDock 4.2, Schrodinger suite, ClueGo, and GUSAR. All the reported genes were obtained using DisGeNET, and further, the common genes were incorporated into the STRING to get the KEGG pathway, and all the data was converted to a protein/pathway network via Cytoscape. The clustering of the genes was performed for the gene-enriched data using two-sided hypergeometrics (p-value). The binding affinity of the IMPHY000797 was verified with the highest regulated 25 proteins via utilizing the “Monte Carlo iterated search technique” and the “Emodel and Glide score” function. Three thousand five hundred eighty-three genes were identified for Parkinson’s disease and 31 genes for IMPHY000797 compound, among which 25 common genes were identified. Further, the “FOXO-signaling pathway” was identified to be a modulated pathway. Among the 25 proteins, the highest modulated genes and highest binding affinity were exhibited by SIRT3, FOXO1, and PPARGC1A with the compound IMPHY000797. Further, rat toxicity analysis provided the efficacy and safety of the compound. The study was required to identify the probable molecular mechanism, which needs more confirmation from other studies, which is still a significant hit-back.

Details

Title
System biology-based assessment of the molecular mechanism of IMPHY000797 in Parkinson’s disease: a network pharmacology and in-silico evaluation
Author
Subramanian, Gomathy 1 ; Fanai, Hannah Lalengzuali 1 ; Chand, Jagdish 1 ; Ahmad, Sheikh F. 2 ; Attia, Sabry M. 2 ; Emran, Talha Bin 3 

 JSS College of Pharmacy, JSS Academy of Higher Education & Research, Department of Pharmaceutical Chemistry, Ooty, India (GRID:grid.411962.9) (ISNI:0000 0004 1761 157X) 
 King Saud University, Department of Pharmacology and Toxicology, College of Pharmacy, Riyadh, Saudi Arabia (GRID:grid.56302.32) (ISNI:0000 0004 1773 5396) 
 Brown University, Department of Pathology and Laboratory Medicine, Warren Alpert Medical School, Providence, USA (GRID:grid.40263.33) (ISNI:0000 0004 1936 9094); Brown University, Legorreta Cancer Center, Providence, USA (GRID:grid.40263.33) (ISNI:0000 0004 1936 9094); Daffodil International University, Department of Pharmacy, Faculty of Allied Health Sciences, Dhaka, Bangladesh (GRID:grid.442989.a) (ISNI:0000 0001 2226 6721) 
Pages
23414
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3114273722
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.