Personalized prediction of anticancer potential of non-oncology drugs through learning from genome derived molecular pathways
Abstract Advances in cancer genomics have significantly expanded our understanding of cancer biology. However, the high cost of drug development limits our ability to translate this knowledge into precise treatments. Approved non-oncology drugs, comprising a large repository of chemical entities, of...
Saved in:
Main Authors: | Xiaobao Dong, Huanhuan Liu, Ting Tong, Liuxing Wu, Jianhua Wang, Tianyi You, Yongjian Wei, Xianfu Yi, Hongxi Yang, Jie Hu, Haitao Wang, Xiaoyan Wang, Mulin Jun Li |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-02-01
|
Series: | npj Precision Oncology |
Online Access: | https://doi.org/10.1038/s41698-025-00813-z |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Anticancer effects of olive oil polyphenols and their combinations with anticancer drugs
by: Torić Jelena, et al.
Published: (2019-12-01) -
Carboxymethyl Hyaluronan-Stabilized Nanoparticles for Anticancer Drug Delivery
by: Jessica L. Woodman, et al.
Published: (2015-01-01) -
Innovative Strategies in Oncology: Bacterial Membrane Vesicle-Based Drug Delivery Systems for Cancer Diagnosis and Therapy
by: Guodong Li, et al.
Published: (2025-01-01) -
Basic Principles of Electrospinning, Mechanisms, Nanofibre Production, and Anticancer Drug Delivery
by: Ayodele Temidayo Odularu
Published: (2022-01-01) -
Novel 4-aminoquinazoline derivatives as new leads for anticancer drug discovery
by: Ghorab Mostafa M., et al.
Published: (2015-09-01)