Advances in Parkinson's disease research - A computational network pharmacological approach.
Int Immunopharmacol
; 139: 112758, 2024 Sep 30.
Article
en En
| MEDLINE
| ID: mdl-39067399
ABSTRACT
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.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Enfermedad de Parkinson
/
Farmacología en Red
Límite:
Animals
/
Humans
Idioma:
En
Revista:
Int Immunopharmacol
Asunto de la revista:
ALERGIA E IMUNOLOGIA
/
FARMACOLOGIA
Año:
2024
Tipo del documento:
Article
País de afiliación:
India
Pais de publicación:
Países Bajos