ReviewAnti-cancer agents in medicinal chemistry2026
Decoding the Anticancer Potential of Natural N-Heterocycles: Molecular Frameworks, Bioactivity, and Mechanistic Advances.
Review in Anti-cancer agents in medicinal chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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Authors and funding
3 authors.
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Abstract
Cancer is the leading cause of death and morbidity worldwide. Numerous scientists are trying to develop new anticancer medications that are more potent and less hazardous. This review, in contrast to previous reviews, focuses on the latest research findings from 2020-2025 on N-heterocyclic moieties as natural anticancer agents. This review provides a contemporary evaluation that integrates recent mechanistic discoveries, emerging nanotechnology-based delivery approaches, and translational progress relevant to natural Nheterocyclic anticancer agents. The literature was collected from online sources such as PubMed, Science Direct, Embase, and Google Scholar by searching with keywords like research paper on Natural N-heterocyclic products having anticancer activity, etc. The findings suggest that combining naturally obtained N-heterocyclic compounds with nanotechnology can provide us with a low-toxic anticancer drug in the future. The process of combining natural products containing N-Heterocyclic moieties with nanotechnology can be a game-changer for the development of anticancer medications. Still, there is a lot of research to be done in this area, which can change the viewpoint of the world regarding the treatment of cancer.
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Registered trials
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 OpenQuestion graph.