Evidence mapPaperPMID 42196311Full record

ReviewInternational journal of molecular sciences2026

Repositioning Natural Products in Modern Drug Discovery: Technological Innovation, Systems Pharmacology, and Pathological Validation.

Kazuhiko Nakadate, Nozomi Ito, Kiyoharu Kawakami

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Kazuhiko NakadateDepartment of Functional Morphology, Meiji Pharmaceutical University, 2-522-1 Noshio, Kiyose 204-8588, Tokyo, Japan.ORCID 0000-0001-6717-7167
Nozomi ItoDepartment of Functional Morphology, Meiji Pharmaceutical University, 2-522-1 Noshio, Kiyose 204-8588, Tokyo, Japan.
Kiyoharu KawakamiDepartment of Functional Morphology, Meiji Pharmaceutical University, 2-522-1 Noshio, Kiyose 204-8588, Tokyo, Japan.

Funding

Japan Society for the Promotion of Science 23K08620
6 · The paper itself

Abstract

Natural products have historically been integral to pharmacotherapy, attributed to their remarkable structural diversity and evolutionary refinement for biological interactions. Nonetheless, traditional natural product-based drug discovery has faced challenges such as mechanistic ambiguity, scalability limitations, and inadequate translational predictability. Concurrently, reductionist single-target approaches have been insufficient for addressing complex diseases characterized by network-level dysregulations. Recent advancements in analytical chemistry, genomics, and data-driven methodologies have rejuvenated natural product research by facilitating rapid structural elucidation, systematic exploration of biosynthetic diversity, and rational prioritization of bioactive compounds. Notably, many natural products exhibit multitarget effects that necessitate interpretation beyond isolated molecular interactions. Systems pharmacology offers a quantitative framework to analyze such network-level perturbations by integrating omics data, computational modeling, and experimental validation. However, molecular and computational predictions alone do not suffice to establish therapeutic relevance. Experimental pathology, encompassing histopathology, immunohistochemistry, spatial analysis, and ultrastructural evaluation, remains essential for validating efficacy and safety at tissue and organ levels. This review synthesizes technological innovation, systems pharmacology, and pathological validation to reposition natural products as mechanistically grounded and translationally robust resources for contemporary drug discovery.

Indexed as

Biological ProductsDrug DiscoveryDrug RepositioningNetwork PharmacologyAnimalsGenomicsHumansSystems BiologyBiological Productsdrug discoveryexperimental pathologymolecular networksnatural productsomics integrationsystems pharmacology

Identifiers

PMID42196311
PMCPMC13207435

What Socratic holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.