A Systems Biology Approach for Identifying Drug Targets
Scientists at UC San Diego have developed a method to identify drug targets using a systems biology approach. Given a network that regulates a disease, the method can predict the effects of inhibiting a set of genes on the marker genes of the disease. For example, if two marker genes are up-regulated in a disease, the method can identify inhibition of genes that can reduce the expression of the two marker genes to normal levels. Therefore, the invention provides a systematic way to evaluate the effects of inhibiting multiple drug targets for treating diseases. Such effects cannot easily be identified using traditional molecular biology approaches.
Patent Number: US20130151452A1
Application Number: US13680297A
Inventor: Wang, Wei | Chang, Rui
Priority Date: 19 May 2010
Priority Number: US20130151452A1
Application Date: 19 Nov 2012
Publication Date: 13 Jun 2013
IPC Current: G06N000502
US Class: 706046
Assignee Applicant: The Regents of the University of California
Title: Systems and Methods for Identifying Drug Targets Using Biological Networks
Usefulness: Systems and Methods for Identifying Drug Targets Using Biological Networks
Summary: The method (M1) is useful for predicting effects of drug targets on treating a disease. The method (M2) is useful for automatically determining multinomial distribution in Bayesian network. The system is useful for determining parameters of Bayesian network (all claimed). The disease is genetic-related disease.
Novelty: Predicting effects of drug targets on treatment of disease preferably genetic-related disease, by constructing Bayesian network structure, associating set of parameters with structure and calculating quantitative prediction
生物醫學
醫藥成分
9076104
Additional Technologies by these Inventors Tech ID/UC Case 21019/2009-054-0 Related Cases 2009-054-0
美國
