On this research we analyze the growth-phase dependent metabolic states of Bdellovibrio bacteriovorus by setting up a completely compartmented, mass and charge-balanced genome-scale metabolic mannequin of this predatory bacterium (iCH457). Contemplating the variations between life cycle phases driving the expansion of this predator, growth-phase condition-specific fashions have been generated permitting the systematic research of its metabolic capabilities. Utilizing these unprecedented computational instruments, we’ve been capable of analyze, from a system degree, the dynamic metabolism of the predatory micro organism because the life cycle progresses. We offer strong computational evidences supporting potential axenic development of B. bacteriovorus’s in a wealthy medium primarily based its encoded metabolic capabilities. Our systems-level evaluation confirms the presence of “energy-saving” mechanisms on this predator in addition to an abrupt metabolic shift between the assault and intraperiplasmic development phases. Our outcomes strongly recommend that predatory micro organism’s metabolic networks have low robustness, seemingly hampering their capacity to sort out drastic environmental fluctuations, thus being confined to secure and predictable habitats. Total, we current right here a beneficial computational testbed primarily based on predatory micro organism exercise for rational design of novel and managed biocatalysts in biotechnological/medical purposes.