Fractals in pharmacognosy: Linking morphology, metabolites, and pharmacological relevance

Fractals are self-similar and hierarchically organized patterns found throughout nature that can offer a framework to describe complexity in both plants and humans. Fractal architectures are evident in many aspects of plant structures, such as roots, leaves and venation networks, suggesting adaptive strategies for efficient resource acquisition and resilience to environmental stress. In addition to providing a quantitative measure for distinguishing taxa and monitoring plant health, fractal dimension can help outline the pattern of secondary metabolite biosynthetic pathways and chemical fingerprints, supporting chemometric analyses and quality control. In this context, fractalomics, a proposed discipline analogous to genomics or metabolomics, may extend fractal principles across biological systems and could be applied to pharmacognosy by linking plant morphology, metabolite networks, and systemic functions. Under a holistic view, it is possible to suggest a hypothesis-generating concept of 'fractal resonance' between medicinal plants and human systems, inviting a modern reinterpretation of the historical 'theory of signatures'. Integrating fractal analysis with machine learning and high-throughput techniques may not only advance predictive phytochemistry and personalized phytotherapy but also promote a more sustainable use of medicinal resources by bridging ethnopharmacological knowledge with contemporary systems biology.