Patient-specific Boolean models of signaling networks guide personalized treatments
Arnau Montagud, Jonas Béal, Luis Tobalina, Pauline Traynard, Vigneshwari Subramanian, Bence Szalai, Róbert Alföldi, László Géza Puskás, Alfonso Valencia, Emmanuel Barillot, Julio Sáez-Rodríguez, Laurence Calzone
The paper develops patient-specific Boolean models of prostate cancer signaling networks to identify actionable targets for personalized treatment, finding dose-dependent effects of inhibitors on key targets.
eLife · Feb 1, 2022Peer-reviewedSystems Biology