Login / Signup

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

Thanyawee SrithanyaratKittisak TaomaThana SutthibutpongMarasri RuengjitchatchawalyaMonrudee LiangruksaTeeraphan Laomettachit
Published in: BioData mining (2024)
The framework employed in the present study lays the groundwork for future advancements, especially in model interpretation. By combining deep learning techniques and target-specific models, this study shed light on potential patterns of target-protein inhibition profiles that could be exploited in breast cancer treatment.
Keyphrases
  • deep learning
  • machine learning
  • artificial intelligence
  • protein protein
  • binding protein
  • electronic health record