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November 8, 2025Open Access

Identification of Therapeutic Gene Targets in Triple-Negative Breast Cancer: A Hybrid Approach Integrating Semidefinite Programming, Boolean Simulation, and Druggability Analysis

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Authors

SMSérgio Assunção MonteiroLCLiliana CarvalhoFSFabrício Alves Barbosa da Silva

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Overview

Hybrid approach combines semidefinite programming and topological network analysis to uncover therapeutic targets in triple-negative breast cancer, highlighting druggability and treatment potential.

Key Points

  • Identification of therapeutic gene targets improves druggability in triple-negative breast cancer.
  • Utilizing semidefinite programming, the study assesses critical nodes in gene regulatory networks.
  • Analysis demonstrates significant advancements in targeting strategies for triple-negative breast cancer therapies.
  • Proposed methodology ensures systematic prioritization of combination therapies based on clinical applicability.

Cite This Study

Monteiro et al. (2025) studied this question.

synapsesocial.com/papers/690e8b75a5b062d7a4e73920https://doi.org/10.1101/2025.11.05.686831
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