Advances in Parkinson’s disease research – A computational network pharmacological approach

Advances in Parkinson’s disease research – A computational network pharmacological approach

[Display omitted] •Parkinson’s disease (PD) is currently of a global concern due to its poor disease management.•Network-based drug discovery is a potential tool for PD. potential low-cost drug discovery method.•The network pharmacology method helps in the establishment of multi-target therapeutic m...

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Published in:International immunopharmacology Vol. 139; p. 112758
Main Authors: Akki, Ali Jawad, Patil, Shruti A., Hungund, Sphoorty, Sahana, R., Patil, Malini M., Kulkarni, Raghavendra V., Raghava Reddy, K., Zameer, Farhan, Raghu, Anjanapura V.
Format: Journal Article
Language:English
Published: Netherlands Elsevier B.V 30-09-2024
Subjects:
Bioinformatics
Biomarkers
Epigenetics
Neurodegenerative
Phytobiologicals
Systems biology
Phytobiologicals
Epigenetics
Biomarkers
Neurodegenerative
Systems biology
Bioinformatics
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Summary:[Display omitted] •Parkinson’s disease (PD) is currently of a global concern due to its poor disease management.•Network-based drug discovery is a potential tool for PD. potential low-cost drug discovery method.•The network pharmacology method helps in the establishment of multi-target therapeutic models.•System biology is used to build computational disease models for PD.•Researchers are employing network pharmacology strategy for optimizing phytobiologicals for PD. Parkinson’s disease (PD), the second most prevalent neurodegenerative disorder, is projected to see a significant rise in incidence over the next three decades. The precise treatment of PD remains a formidable challenge, prompting ongoing research into early diagnostic methodologies. Network pharmacology, a burgeoning field grounded in systems biology, examines the intricate networks of biological systems to identify critical signal nodes, facilitating the development of multi-target therapeutic molecules. This approach systematically maps the components of Parkinson’s disease, thereby reducing its complexity. In this review, we explore the application of network pharmacology workflows in PD, discuss the techniques employed in this field, and evaluate the current advancements and status of network pharmacology in the context of Parkinson’s disease. The comprehensive insights will pave newer paths to explore early disease biomarkers and to develop diagnosis with a holistic in silico, in vitro, in vivo and clinical studies.
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ISSN:1567-5769
1878-1705
1878-1705
DOI:10.1016/j.intimp.2024.112758