Patent ID: 11960802
Assignee: TURBINE SIMULATED CELL TECHNOLOGIES LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 17:
18. A processor device for identifying biological components in a real complex system of biochemical nature, wherein the biological components are targets for therapeutic intervention by therapeutic agents, the device comprising:, a data carrier storing a model of the real complex system of a biochemical nature, the model comprising a network of objects represented by network points and relations between the objects being represented by edges between the network points, wherein the states of the objects are described by a parameter set and the relations associated with the edges are described by functions of time, and wherein the objects correspond to the biological components;, a processor device; and, a memory device encoding instructions that, when run on the processor device, cause the processor device to:
(a) obtain values for an initial state and a desired target state for each parameter of the parameter set for each object, wherein the initial state corresponds to a diseased state;
(b) set the initial values and the desired target values of the parameters of the network points;
(c) automatically generate an initial set of test excitations for at least one point of the network, the initial set of test excitations having a number of test excitations selected using a predetermined metaheuristic algorithm;
(d) simulate behavior of the network using the set of test excitations;
(e) stop the simulation when a simulation termination condition in a given simulation step is detected;
(f) after the simulation is stopped, calculate and store the differences between the parameter values belonging to the desired target state and the parameter values produced by the simulation for each network point;
(g) automatically generate a next set of test excitations selected to more closely approach the target state based on the previous test excitations having the smallest differences by using the predetermined metaheuristic algorithm;
(h) iteratively repeating steps (d)-(g) until a predetermined termination condition is satisfied;
(i) from among the stored simulation results, selecting the simulation result best matching the desired target state, the test set of excitations which produced said best matching simulation result is regarded as a final excitation set transferring the network from its initial state to its target state; and
(j) outputting the final excitation set as the targets for therapeutic intervention by therapeutic agents in the real complex system of biochemical nature.