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This Research Topic is part of a series with:

This Research Topic is part of a series with:
Natural Product Leads for Multitarget-Based Treatment of Cancer -Pharmacological assessments based on computational analyses.

At the global level, cancer is the major public health problem and despite the advancements in prognosis, diagnosis, and treatment of cancer, the later is becoming deadlier especially as it is having high vulnerability for the point mutations. This factor leads to drug resistance and, thus, pressures the scientific community to keep the exploration running for new leads to treat various types/stages of cancer. Natural products have already proven its potential to treat various diseases and disorders. In the case of cancer, natural products have served as leads, either by a direct or semi-synthetic way.

With the advancements in drug discovery, chembioinformatics started to play a very significant role in aiding and expediting the same. The integration of chembioinformatics studies (like QSAR, Homology Modeling, Docking, MD simulations, ADME and Toxicological simulations, etc.) with the wet lab experimental in vitro and in vivo studies provides in-depth molecular target information and pharmacophore mapping, aiming to design a better drug for a target-specific action. As scientists are regularly evaluating natural products of multiple origins for the treatment of cancer, be it plant, marine, microbial, or animal sources, we would like to co-operate with them and collect their research or review works in our cancer-specific Research Topic.

Our Research Topic on the theme of natural products for the multitarget-based treatment of cancer aims to gather studies that provide insightful aid for better and focused scientific research in the cancer field. We welcome authors to submit their articles covering the theme on a diversified level. Since the Research Topic is under the Ethnopharmacology section, the studies on natural products or derived products should have a link to their local/traditional/ethnic use.

The kind of studies that can be considered are like:
• Preclinical studies (in silico, in vitro, in vivo) on multitarget anticancer effects of natural products or derived products. Pharmacological based studies can include methodologies based on cell lines, genes, enzyme kinetics, receptors, immunological targets as well as animal level in-depth experiments.
• Clinical studies emphasizing the efficiency of natural or derived products to control various types and various stages of cancer.
• Pharmacokinetic studies of the potent natural multi-target anticancer products.
• Detailed review articles encompassing the content around the Research Topic.

Note for Research Articles: Preference will be given to the articles where both computational and experimental (bench-work) based studies will be there. But, in order to fully understand the limitations of experimental and chembioinformatics labs, we will also consider:
- Manuscripts in which the in-depth computational analysis has been done on experimentally proved natural anti-cancer agents.
- Experimental studies on chembioinformatically-proven molecules.

Authors must make sure that specifically comply with the requirements of the Journal as laid out in The Four Pillars of Ethnopharmacology, as it relates to computational and experimental studies.


One can find more information about the Article Types guidelines in the Ethnopharmacology section here). As mentioned above, all the manuscripts submitted to this project will be peer-reviewed and need to fully comply with the Four Pillars of Ethnopharmacology (you can freely download the full version here).

Keywords: Secondary Metabolites, Natural Anti-cancer Agents, Herbal Medicine, Anti-cancer Lead, ChemBioinformatics

Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

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