ArticleInternational journal of nanomedicine2020
Fullerene Derivatives as Lung Cancer Cell Inhibitors: Investigation of Potential Descriptors Using QSAR Approaches.
Article in International journal of nanomedicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 14 citations in OpenAlex.
- Transforming the Buckyball: Regioselective Synthesis of Water-Soluble [60]Fullerene Derivatives for Biomedical Applications.Molecules (Basel, Switzerland) · 2026Review
- Water-Soluble Fullerene CMicroorganisms · 2023Article
- Nanosafety: An Evolving Concept to Bring the Safest Possible Nanomaterials to Society and Environment.Nanomaterials (Basel, Switzerland) · 2022Review
- Investigation of potential descriptors of chemical compounds on prevention of nephrotoxicity via QSAR approach.Computational and structural biotechnology journal · 2022Article
- Recent advances in carbon nanomaterials for biomedical applications: A review.Current opinion in biomedical engineering · 2021Review
- Identification of potential descriptors of water-soluble fullerene derivatives responsible for antitumor effects on lung cancer cells via QSAR analysis.Computational and structural biotechnology journal · 2021Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundNanotechnology-based strategies in the treatment of cancer have potential advantages because of the favorable delivery of nanoparticles into tumors through porous vasculature. MATERIALS AND
methodsIn the current study, we synthesized a series of water-soluble fullerene derivatives and observed their anti-tumor effects on human lung carcinoma A549 cell lines. The quantitative structure-activity relationship (QSAR) modeling was employed to investigate the relationship between anticancer effects and descriptors relevant to peculiarities of molecular structures of fullerene derivatives.
resultsIn the QSAR regression model, the evaluation results revealed that the determination coefficient
conclusionThe guidelines obtained from the QSAR model might strongly facilitate the rational design of potential fullerene-based drug candidates for lung cancer therapy in the future.
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Registered trials
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