Model Generation for Drug Determination

摘要

Disclosed herein is a computer-implemented method for simulating a response of a drug, or a combination of drugs, being used for the treatment of a disease, the method comprising a computing device performing the steps of: generating one or more models of cell responses in a biological network of cellular processes, wherein each model is a self-contained logical model that comprises a network topology with nodes, edges between nodes and parameters of the nodes for modelling obtained state data of a plurality of biological signalling entities of one or more diseased cells, wherein generating each model comprises automatically determining logical rules that define at least the parameters of the nodes such that an attractor of the model substantially corresponds to said obtained state data of the plurality of biological signalling entities of one or more diseased cells; for each of the one or more models, simulating the effect of a drug, or a combination of drugs, by determining an output of the generated model when the states of one or more nodes of the model are changed in accordance with the expected effect of the drug, or the combination of drugs, on one or more of said biological signalling entities; and determining a drug, or a combination of drugs, for the treatment of the one or more diseased cells in dependence on the outputs of the one or more models. Advantageously, a fast and inexpensive technique is provided for determining drug(s), or combinations of drugs, for the treatment of the disease.

主权项

1. A method for simulating a response of a drug, or a combination of drugs, being used for the treatment of a disease, the method comprising the steps of:
generating a model of cell responses in a biological network of cellular processes, wherein the model is a self-contained logical model that comprises a network topology with nodes, edges between nodes and parameters of the nodes for modelling obtained state data of a plurality of biological signalling entities of one or more diseased cells, wherein generating the model comprises determining logical rules that define at least the parameters of the nodes such that an attractor of the model substantially corresponds to said obtained state data of the plurality of biological signalling entities of one or more diseased cells; simulating the effect of a drug, or a combination of drugs, by determining an output of the generated model when the states of one or more nodes of the model are changed in accordance with the expected effect of the drug, or the combination of drugs, on one or more of said biological signalling entities; and determining a drug, or a combination of drugs, for the treatment of the one or more diseased cells in dependence on the output of the model.