Systems and methods for identifying drug targets using biological networks

摘要

Certain embodiments of the invention may include systems and methods for identifying drug targets using biological networks. According to an example embodiment of the invention, a method is provided for predicting the effects of drug targets on treating a disease. The method can include constructing a structure of a Bayesian network based at least in part on knowledge of drug inhibiting effects on a disease; associating a set of parameters with the constructed Bayesian network; determining values of a joint probability distribution of the Bayesian network via an automatic procedure; deriving a mean Bayesian network with one or more averaged parameters based at least in part on the joint probability values; and calculating a quantitative prediction based at least in part on the mean Bayesian network.

主权项

1. A method, comprising executing computer executable instructions by one or more processors for predicting gene expression profile changes upon inhibiting proteins or genes of drug targets on treating a disease, the method further comprising:
constructing a genetic network comprising a structure of a dynamic Bayesian network based at least in part on knowledge of drug inhibiting effects on a disease; associating a set of parameters with the constructed dynamic Bayesian network; determining values of a joint probability distribution of the dynamic Bayesian network via an automatic procedure; deriving a mean dynamic Bayesian network with one or more averaged parameters based at least in part on the joint probability values; and calculating a quantitative prediction based at least in part on the mean dynamic Bayesian network, wherein said method searches for an optimal combination of drug targets whose perturbed gene expression profiles are most similar to healthy cells.