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Updated: May 9, 2026
An Integrated Raman Spectroscopy and Mass Spectrometry Platform to Study Single-Cell Drug Uptake, Metabolism, and Effects
Published on: January 9, 2020
Exploring the chemical space of aromatase inhibitors
Chanin Nantasenamat1, Hao Li, Prasit Mandi
1Department of Clinical Microbiology and Applied Technology, Faculty of Medical Technology, Mahidol University, Bangkok, 10700, Thailand, chanin.nan@mahidol.ac.th.
Abstract:
Aromatase, a rate-limiting enzyme catalyzing the conversion of androgen to estrogen, is overexpressed in human breast cancer tissue. Aromatase inhibitors (AIs) have been used for the treatment of estrogen-dependent breast cancer in post-menopausal women by blocking the biosynthesis of estrogen. The undesirable side effects in current AIs have called for continued pursuit for novel candidates with aromatase inhibitory properties. This study explores the chemical space of all known AIs as a function of their physicochemical properties by means of univariate (i.e., statistical and histogram analysis) and multivariate (i.e., decision tree and principal component analysis) approaches in order to understand the origins of aromatase inhibitory activity. Such a non-redundant set of AIs spans a total of 973 compounds encompassing both steroidal and non-steroidal inhibitors. Substructure analysis of the molecular fragments provided pertinent information on the structural features important for ligands providing high and low aromatase inhibition. Analyses were performed on data sets stratified according to their structural scaffolds (i.e., steroids and non-steroids) and bioactivities (i.e., actives and inactives). These analyses have uncover a set of rules characteristic to active and inactive AIs as well as revealing the constituents giving rise to potent aromatase inhibition.
Insights
This study analyzes aromatase inhibitors (AIs) to understand their activity. It identifies key structural features and rules for potent AI drug discovery.
Area of Science:
- Medicinal Chemistry
- Computational Chemistry
- Oncology
Background:
- Aromatase enzyme is crucial for estrogen biosynthesis and overexpressed in breast cancer.
- Aromatase inhibitors (AIs) treat estrogen-dependent breast cancer but have side effects.
- Novel AIs with improved properties are needed.
Purpose of the Study:
- To explore the chemical space of known aromatase inhibitors (AIs).
- To understand the physicochemical properties and structural features governing aromatase inhibitory activity.
- To identify rules for designing potent and selective AIs.
Main Methods:
- Univariate analyses (statistical, histogram) and multivariate analyses (decision tree, principal component analysis).
- Analysis of 973 non-redundant steroidal and non-steroidal AIs.
- Substructure analysis stratified by structural scaffolds and bioactivities (actives/inactives).
Main Results:
- Identified key molecular fragments and structural features associated with high and low aromatase inhibition.
- Uncovered characteristic rules differentiating active from inactive AIs.
- Revealed constituents contributing to potent aromatase inhibition.
Conclusions:
- Physicochemical properties and structural features are critical for aromatase inhibition.
- Established rules can guide the design of novel, effective aromatase inhibitors.
- This study provides a foundation for developing next-generation breast cancer therapies.
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