International Journal of Pharmaceutical and Phytopharmacological Research
ISSN (Print): 2250-1029
ISSN (Online): 2249-6084
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2026   Volume 16   Issue 3

Multiscale Pharmacology of Natural Products: Linking Molecular Features, Cellular Pathways, Organ-Level Effects, and Clinical Relevance
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  1. Department of Artificial Intelligence for Membrane Transport of Natural Drugs, Faculty of Pharmacy, ETH Zurich, Zurich, Switzerland.
  2. Department of Computational Pharmacokinetics, Faculty of Pharmacy, EPFL Lausanne, Lausanne, Switzerland.
  3. Department of Phytochemical Stability Informatics, Faculty of Pharmacy, University of Bern, Bern, Switzerland.
Citation
Vancouver
Keller L, Lehmann T, Brunner S, Meier C. Multiscale Pharmacology of Natural Products: Linking Molecular Features, Cellular Pathways, Organ-Level Effects, and Clinical Relevance. Int J Pharm Phytopharmacol Res. 2026;16(3):38-51. https://doi.org/10.51847/lLzl3RxJ8r
APA
Keller, L., Lehmann, T., Brunner, S., & Meier, C. (2026). Multiscale Pharmacology of Natural Products: Linking Molecular Features, Cellular Pathways, Organ-Level Effects, and Clinical Relevance. International Journal of Pharmaceutical And Phytopharmacological Research, 16(3), 38-51. https://doi.org/10.51847/lLzl3RxJ8r
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Abstract

Natural product pharmacology routinely spans multiple biological and interpretive scales, from phytochemical identity and molecular interactions to cellular pathway modulation, tissue responses, organ-level effects, and clinical relevance. This scale diversity creates a recurrent translational problem because evidence generated at one level is often interpreted as if it were sufficient to justify conclusions at another. The purpose of this article is to propose a multiscale pharmacology framework for natural product research that preserves scale-specific evidence while organizing structured links across molecular, cellular, organ-level, exposure, safety, and translational domains. The framework begins with natural product identity, botanical source, phytochemical composition, and molecular feature characterization, then progresses through bioactivity evidence, target annotation, target engagement hypotheses, off-target risk, and cellular pathway mapping supported by omics evidence where available. It next incorporates tissue context, organ-system relevance, pharmacokinetic exposure, ADME considerations, and safety signals so that organ-level interpretation is not detached from exposure-response reasoning. Clinical relevance is addressed through biomarker interpretation, disease-phenotype mapping, clinical endpoint boundaries, and uncertainty-aware translational mapping. Validation is treated as a central boundary condition rather than a downstream formality, with explicit attention to scale-transition gaps, evidence triangulation, expert review, and feedback updating. The main contribution is an original conceptual framework that supports research prioritization and mechanism-oriented interpretation while avoiding unsupported clinical or therapeutic claims.

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