The Combination of Tradition and Future: Data-Driven Natural-Product-Based Treatments for Parkinson's Disease. (14th July 2021)

• Record Type: Journal Article
• Authors: Miao, Zhijun; Bai, Jinwei; Shen, Li; Singla, Rajeev K.
• Other Names: Wang Xue-Rui Academic Editor.
• Is Part Of: Evidence-based complementary and alternative medicine. Volume 2021(2021)
• Publication Date: 2021-07-14
• Subjects: Alternative medicine -- Periodicals; 615.505
• DOI: 10.1155/2021/9990020
• Languages: English
• ISSNs: 1741-427X

Abstract

Abstract : Parkinson's disease (PD) is a neurodegenerative disorder in elderly people. The personalized diagnosis and treatment remain challenges all over the world. In recent years, natural products are becoming potential therapies for many complex diseases due to their stability and low drug resistance. With the development of informatics technologies, data-driven natural product discovery and healthcare is becoming reality. For PD, however, the relevant research and tools for natural products are quite limited. Here in this review, we summarize current available databases, tools, and models for general natural product discovery and synthesis. These useful resources could be used and integrated for future PD-specific natural product investigations. At the same time, the challenges and opportunities for future natural-product-based PD care will also be discussed.