Multipartite network-based models for precision medicine

Projekti: Tutkimusprojekti

Projektin yksityiskohdat

Kuvaus (abstrakti)

From the drug discovery perspective, combination therapy is recommended in cancer due to efficiency and safety compared to the common cytotoxic and single-targeted monotherapies. However, identifying effective drug combinations is time and cost consuming. Here, I present a novel strategy of predicting potential drug combination and patient subclasses by constructing multipartite networks using drug response data. This project involves network pharmacology modeling, flow cytometry-based drug response, and thermal proteomics to provide the mechanism of action of drugs and drug combinations for a systems-level understanding of cancer.
TilaKäynnissä
Todellinen alku/loppupvm01/09/202031/08/2024

Tieteenalat

  • 1182 Biokemia, solu- ja molekyylibiologia
  • 111 Matematiikka
  • 112 Tilastotiede
  • 3111 Biolääketieteet