Abstract: Methods of modeling the in vivo efficacy of drug combinations for the treatment or prevention of viral infection are described. The described methods combine data for single drugs and drug combinations from pharmacokinetic, pharmacodynamic, and viral dynamics models under a series of estimated in vivo drug potencies to provide predictions of the in vivo effects of the drug combinations. These predictions can be used to more accurately select drugs and drug treatment regimens that can be successful in controlling viral infection in animal studies, clinical trials and in medical or veterinary interventions. Also described is a method of treating or preventing filovirus infections using combinations of orally available drugs based on predictions from the modeling methods.

Abstract: The invention features compositions including two, three, or more agents useful in treating a patient with a neoplasm, methods for treatment of a patient with a neoplasm such as cancer (e.g., brain cancer), kits which include one, two, three, or more agents useful in the treatment of cancer, as well as methods for identifying combinations of compounds potentially useful in treating a patient with a neoplasm.