Abstract
In recent years, network pharmacology has emerged as a powerful approach for understanding the complex interactions between various bioactive components of medicinal plants and their targets within biological systems [1,2]. This approach plays a pivotal role in evaluating the multi-targeted therapeutic potential of medicinal plants, making it a promising tool for drug discovery and development. The integration of traditional knowledge with modern analytical techniques and computational methods has enabled the comprehensive exploration of the pharmacological properties of medicinal plants [3-6]. Medicinal plants have been an essential part of traditional medicine systems worldwide for centuries. These plants contain a wide array of bioactive compounds, such as alkaloids, flavonoids, terpenoids, and polyphenols, which exert therapeutic effects through interactions with specific molecular targets [7,8]. However, elucidating the intricate relationships between these compounds and their targets has proven challenging [2].
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