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A Systems Biology Approach for Identifying Drug Targets

詳細技術說明

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.

*Abstract

Bayesian networks are a popular class of graphical probabilistic models based on Bayes theorem. Bayesian networks represent a joint probability distribution over a set of variables. Once known, this joint distribution may be used to compute the probabilities of any configuration of the variables. Bayesian networks have been increasingly applied to various computation applications, such as computational biology and computer vision. The commonly used approach of modeling network behavior employs ordinary or partial differential equations (ODE or PDE), but this approach is limited to analyzing relatively small networks (10-20 nodes), as ODE or PDE approaches may consider only local effects in the network. There is need to overcome this limitation and provide a systematic way, based on biological networks, to evaluate the effects of inhibiting multiple drug targets on treating a disease.

*IP Issue Date

Jul 7, 2015

*Principal Investigation

Name: Rui Chang

Department:

Name: Wei Wang

Department:

附加資料

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

主要類別

生物醫學

細分類別

醫藥成分

申請號碼

9076104

其他

Additional Technologies by these Inventors

• Quantitative Peptide Microarray Technology

Tech ID/UC Case

21019/2009-054-0

Related Cases

2009-054-0

國家/地區

美國