Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Computational Approaches for Breast Cancer Treatment

Computational Approaches for Breast Cancer Treatment

Bouachrine, Mohammed
Badaoui, Hassan
Aziz Ajana, Mohammed

Paperback

Chemistry

ISBN10: 6630258339
ISBN13: 9786630258332
Publisher: LAP Lambert Academic Publishing
Published: Aug 19 2026
Pages: 128
Weight: 0.40
Height: 0.30 Width: 6.00 Depth: 9.00
Language: English
The Epidermal Growth Factor Receptor (EGFR) is one of the most important therapeutic targets in the development of anticancer treatments. Its abnormal expression and excessive activation are associated with the progression of numerous types of cancer, including lung, breast, colorectal, pancreatic, and head and neck cancers. Despite significant advances in the development of targeted therapies, drug resistance and adverse effects remain major challenges. In this context, computational approaches provide powerful tools to accelerate the discovery and optimization of novel EGFR inhibitors. Our research team has therefore employed various computational techniques, including molecular modeling, molecular docking, ADMET prediction, and molecular dynamics simulations, to identify promising compounds that may contribute to the development of more effective and selective anticancer therapies.

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