Redox Biotransformation and Delivery of Anthracycline Anticancer Antibiotics: How Interpretable Structure-activity Relationships of Lethality Using Electrophilicity and the London Formula for Dispersion Interaction Work

Author(s): Siu-Kwong Pang*

Journal Name: Current Cancer Drug Targets

Volume 18 , Issue 6 , 2018

  Journal Home
Translate in Chinese
Become EABM
Become Reviewer
Call for Editor

Graphical Abstract:


Background: Quantum chemical methods and molecular mechanics approaches face a lot of challenges in drug metabolism study because of either insufficient accuracy, huge computational cost, or lack of clear molecular level pictures for building computational models. Low-cost QSAR methods can often be carried out, even though molecular level pictures are not well defined; however, they show difficulty in identifying the mechanisms of drug metabolism and delineating the effects of chemical structures on drug toxicity because a certain amount of molecular descriptors are difficult to be interpreted.

Objective: In order to make a breakthrough of QSAR, mechanistically interpretable molecular descriptors were used to correlate with biological activity to establish structure-activity plots. The biological activity is the lethality of anthracycline anticancer antibiotics denoted as log LD50. The mechanistically interpretable molecular descriptors include electrophilicity and the mathematical function in the London formula for dispersion interaction.

Method: The descriptors were calculated using quantum chemical methods.

Results: The plots for electrophilicity, which is interpreted as redox reactivity of anthracyclines, can describe oxidative degradation for detoxification and reductive bioactivation for toxicity induction. The plots for the dispersion interaction function, which represents the attraction between anthracyclines and biomolecules, can describe efflux from and influx into the target cells of toxicity. The plots can also identify three structural scaffolds of anthracyclines that have different metabolic pathways, resulting in their different toxicity behavior.

Conclusion: This structure-dependent toxicity behavior revealed in the plots can provide perspectives on drug design and drug metabolism study.

Keywords: Anthracyclines, electrophilicity, dispersion interaction, drug toxicity, quantitative structure-activity relationship, quantum chemical methods.

Rights & PermissionsPrintExport Cite as

Article Details

Year: 2018
Published on: 11 June, 2018
Page: [600 - 607]
Pages: 8
DOI: 10.2174/1568009617666170330145709
Price: $65

Article Metrics

PDF: 22
PRC: 1