ADME prediction for Breast Cancer Drugs in Computer-Aided Drug Design
Author:
Affiliation:
1. Sun Yat-Sen University, China
2. China University of Geosciences, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3533254.3533257
Reference22 articles.
1. Differential expression of estrogen receptor α, β1, and β2 in lobular and ductal breast cancer
2. A positive feedback loop of ER-α36/EGFR promotes malignant growth of ER-negative breast cancer cells
3. Inhibition of BTF3 sensitizes luminal breast cancer cells to PI3Kα inhibition through the transcriptional regulation of ERα
4. Estimation of clinical trial success rates and related parameters
5. Screening for human ADME/Tox drug properties in drug discovery
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