Evaluation of machine learning algorithms and computational structural validation of CYP2D6 in predicting the therapeutic response to tamoxifen in breast cancer.
This study highlights the utility of MLAs in identifying key predictors of tamoxifen response and the value of bioinformatics in understanding CYP2D6's role in breast cancer outcomes. Personalized treatment approaches based on CYP2D6 metabolizer status could enhance tamoxifen therapy effectiveness.
Authors
- C. George Priya Doss (ORCID: https://orcid.org/0000-0002-5971-8290)
- Kannan Sridharan (ORCID: https://orcid.org/0000-0003-3811-6503)
Institutions
- Arabian Gulf University (BH)
Publication Details
- Journal
- PubMed
- Published
- 2024-12-01
- DOI
- https://doi.org/10.26355/eurrev_202412_37005
- Citations
- 1
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.36