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Published on: February 15, 2016
2D- and 3D-quantitative structure-activity relationship studies for a series of phenazine N,N'-dioxide as antitumour
Jonathan Da Cunha1, María Laura Lavaggi, María Inés Abasolo
1Grupo de Química Medicinal, Laboratorio de Química Orgánica, Facultad de Ciencias-Facultad de Química, Universidad de la República, Montevideo, Uruguay.
Abstract:
Hypoxic regions of tumours are associated with increased resistance to radiation and chemotherapy. Nevertheless, hypoxia has been used as a tool for specific activation of some antitumour prodrugs, named bioreductive agents. Phenazine dioxides are an example of such bioreductive prodrugs. Our 2D-quantitative structure activity relationship studies established that phenazine dioxides electronic and lipophilic descriptors are related to survival fraction in oxia or in hypoxia. Additionally, statistically significant models, derived by partial least squares, were obtained between survival fraction in oxia and comparative molecular field analysis standard model (r² = 0.755, q² = 0.505 and F = 26.70) or comparative molecular similarity indices analysis-combined steric and electrostatic fields (r² = 0.757, q² = 0.527 and F = 14.93), and survival fraction in hypoxia and comparative molecular field analysis standard model (r² = 0.736, q² = 0.521 and F = 18.63) or comparative molecular similarity indices analysis-hydrogen bond acceptor field (r² = 0.858, q² = 0.737 and F = 27.19). Categorical classification was used for the biological parameter selective cytotoxicity emerging also good models, derived by soft independent modelling of class analogy, with both comparative molecular field analysis standard model (96% of overall classification accuracy) and comparative molecular similarity indices analysis-steric field (92% of overall classification accuracy). 2D- and 3D-quantitative structure-activity relationships models provided important insights into the chemical and structural basis involved in the molecular recognition process of these phenazines as bioreductive agents and should be useful for the design of new structurally related analogues with improved potency.
Insights
Hypoxia in tumors increases resistance to cancer treatments. Phenazine dioxides, a type of bioreductive agent, can be activated in hypoxic conditions. Structure-activity relationship studies reveal key molecular features for designing more potent anticancer drugs.
Area of Science:
- Medicinal Chemistry
- Pharmacology
- Computational Chemistry
Background:
- Tumor hypoxia is linked to resistance to radiation and chemotherapy.
- Bioreductive agents are prodrugs activated under hypoxic conditions.
- Phenazine dioxides represent a class of bioreductive prodrugs with potential anticancer activity.
Purpose of the Study:
- To investigate the quantitative structure-activity relationships (QSAR) of phenazine dioxides as bioreductive agents.
- To establish models correlating molecular descriptors with the biological activity of phenazine dioxides.
- To guide the design of novel phenazine analogues with enhanced potency.
Main Methods:
- 2D-quantitative structure-activity relationship (QSAR) studies using electronic and lipophilic descriptors.
- Partial least squares (PLS) regression analysis.
- Comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA).
- Soft independent modeling of class analogy (SIMCA) for classification of selective cytotoxicity.
Main Results:
- Statistically significant QSAR models were developed relating molecular descriptors to survival fractions in both oxic and hypoxic conditions.
- CoMFA and CoMSIA models showed good predictive power for survival fractions (q² up to 0.737).
- SIMCA models achieved high classification accuracy (up to 96%) for selective cytotoxicity.
- Electronic and lipophilic properties were identified as crucial for phenazine dioxides' activity.
Conclusions:
- QSAR models provide insights into the molecular recognition of phenazine dioxides as bioreductive agents.
- The findings support the use of phenazine dioxides for targeted cancer therapy in hypoxic tumors.
- These models are valuable for the rational design of new, more effective phenazine-based anticancer drugs.
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