Abstract: In some embodiments, the early feasibility assessment (EFA) system generates a set of quantitative systems pharmacology (QSP) models using rule-based reasoning systems to efficiently assess the feasibility of therapeutic drug candidates. With each QSP model, the EFA system provides sets of parameters for the user to easily contrast and compare various scenarios to explore risk and uncertainty of developing the therapeutic drug candidate, while high-performance computing provides near real-time simulation of the scenarios. The EFA system performs 1-dimensional or 2-dimensional scans of parameters and output feasibility criteria including, for example, maximum inhibition, activation, and target engagement. The assessment results and key parameters values can be presented via a user interface of the EFA system which allows user interactions with, for example, dose-response and pharmacokinetic and pharmacodynamic (PK/PD) plots.