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

Claim 0:
1. A computer-implemented method 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 method comprising:
a) modeling the real complex system by a network of objects and relations between said objects, wherein said objects of the system are represented by network points and relations are represented by edges between the network points, and 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, wherein the objects correspond to the biological components;
b) for each object of the real system, obtaining values for each parameter of said parameter set both for an initial state and a desired target state thereof, wherein the initial state corresponds to a diseased state;
c) setting the initial values and the desired target values of the parameters of the network points;
d) using a predetermined metaheuristic algorithm, automatically generating an initial set of test excitations for at least one point of the network, the initial set of test excitations including a predetermined number of test excitations defined by the metaheuristic algorithm;
e) simulating the behavior of the network by using the set of test excitations;
f) detecting whether a simulation termination condition in a given simulation step is true and if so, stopping the simulation;
g) after stopping the simulation, calculating and storing, for each network point, the difference between the parameter values belonging to the desired target state and the parameter values produced by the simulation;
h) automatically generating a next set of test excitations by using the predetermined metaheuristic algorithm, the next set of test excitations being generated to more closely approach the target state based on the previous test excitations having the smallest difference between the parameter values belonging to the desired target state and the parameter values produced by the simulation, and the number of test excitations in the next set being defined by the metaheuristic algorithm;
i) iteratively repeating steps e)-h) to reduce the difference between the parameter values produced by the simulations and the parameter values of the target state until a predetermined entire termination condition is satisfied;
j) 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
k) outputting the final excitation set as the targets for therapeutic intervention by therapeutic agents in the real complex system of biochemical nature.