Interpreting drug synergy in breast cancer with deep learning using target-protein inhibition profiles

Interpreting drug synergy in breast cancer with deep learning using target-protein inhibition profiles

Abstract Background Breast cancer is the most common malignancy among women worldwide. Despite advances in treating breast cancer over the past decades, drug resistance and adverse effects remain challenging. Recent therapeutic progress has shifted toward using drug combinations for better treatment...

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Podrobná bibliografie
Hlavní autoři: Thanyawee Srithanyarat, Kittisak Taoma, Thana Sutthibutpong, Marasri Ruengjitchatchawalya, Monrudee Liangruksa, Teeraphan Laomettachit
Médium: Článek
Jazyk:English
Vydáno: BMC 2024-02-01
Edice:BioData Mining
Témata:
Deep neural network
Drug combination
Small-molecule inhibitors
Synergistic effects
Targeted therapy
On-line přístup:https://doi.org/10.1186/s13040-024-00359-z

Internet

https://doi.org/10.1186/s13040-024-00359-z

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