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Updated: Jan 13, 2026

Studying Triple Negative Breast Cancer Using Orthotopic Breast Cancer Model
Published on: March 20, 2020
Design and evaluation of dual c-Met/β-tubulin inhibitors for triple-negative breast cancer: An In Silico approach
Milica Mihajlović1, Irena Conić1, Ana Cvetanović1
1Faculty of Medicine, University of Niš, Niš, Serbia; Clinic of Oncology, University Clinical Center Niš, Niš, Serbia.
Abstract:
Triple-negative breast cancer (TNBC) remains one of the most aggressive and treatment-resistant subtypes of breast malignancies, defined by the absence of hormone receptors and HER2 amplification. This study introduces an integrated computer-aided drug design (CADD) framework that combines Monte Carlo-optimized QSAR modeling, molecular docking, and in silico pharmacokinetic assessment to identify dual c-Met/β-tubulin inhibitors with potential anti-TNBC activity. Robust conformation-independent QSAR models were developed using SMILES- and graph-based descriptors, achieving high internal consistency (R² > 0.84) and strong external predictivity (Q²ext > 0.77). Statistical validation and the CORAL-based "defect-of-correlation" approach confirmed reliability within the defined applicability domain. Fragment-level interpretation revealed molecular motifs associated with enhanced cytotoxicity, which were subsequently used in the CADD design of new multitarget analogs, enabling rational structure-activity relationship (SAR) refinement. Molecular docking against both c-Met and β-tubulin demonstrated complementary binding orientations and stable non-covalent interactions, supporting the proposed multitarget mechanism. In silico pharmacokinetic analysis indicated favorable drug-likeness, high gastrointestinal absorption, absence of major metabolic liabilities, and low predicted toxicity, suggesting a well-balanced safety-efficacy profile. Collectively, this study establishes a CADD-based multitarget modeling platform that integrates predictive, mechanistic, and pharmacokinetic insights, providing a rational foundation for the development of next-generation personalized therapeutics for TNBC.
Insights
This study developed a computer-aided drug design framework to find new treatments for triple-negative breast cancer (TNBC). The framework identified dual inhibitors targeting c-Met and β-tubulin, showing promise for effective anti-TNBC therapies.
Area of Science:
- Computational chemistry and drug discovery
- Oncology and cancer therapeutics
- Pharmacology and toxicology
Background:
- Triple-negative breast cancer (TNBC) is an aggressive malignancy with limited treatment options.
- The absence of hormone receptors and HER2 amplification characterizes TNBC, necessitating novel therapeutic strategies.
- Targeting multiple pathways simultaneously offers a promising approach for overcoming treatment resistance in TNBC.
Purpose of the Study:
- To establish an integrated computer-aided drug design (CADD) framework for identifying novel anti-TNBC agents.
- To discover dual inhibitors targeting both c-Met and β-tubulin, key pathways implicated in TNBC progression.
- To assess the in silico pharmacokinetic and safety profiles of potential drug candidates.
Main Methods:
- Development of robust conformation-independent quantitative structure-activity relationship (QSAR) models using SMILES and graph-based descriptors.
- Application of Monte Carlo optimization and CORAL-based validation for QSAR model reliability.
- Utilizing molecular docking simulations to evaluate binding affinities and interactions with c-Met and β-tubulin.
- In silico pharmacokinetic analysis to predict drug-likeness, absorption, metabolism, and toxicity.
Main Results:
- Highly predictive QSAR models achieved R² > 0.84 and Q²ext > 0.77, confirming reliability within the applicability domain.
- Identification of key molecular motifs associated with enhanced cytotoxicity against TNBC cells.
- Molecular docking revealed stable interactions and complementary binding modes for dual c-Met/β-tubulin inhibition.
- In silico pharmacokinetic profiling indicated favorable drug-likeness, good absorption, and low predicted toxicity.
Conclusions:
- The integrated CADD framework provides a rational approach for designing multitarget inhibitors against TNBC.
- Dual c-Met/β-tubulin inhibition represents a viable strategy for developing effective and safer therapies for TNBC.
- This study lays the groundwork for personalized therapeutic development in triple-negative breast cancer.
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