Figure 1.

A schematic representation of the machine-learning-based dynamic multi-species metabolic modeling-locating evenness and stability in large parametric space (DyMMM-LEAPS) framework along with its inputs and outputs. This methodology enables rapid and computationally efficient exploration of synthetic circuit design space through parametric space reduction without losing critical information.