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DIAMOnD - DIseAse MOdule Detection Algorithm

技術優勢

The algorithm:ΓÇóIs parameter freeΓÇóStarts with known disease proteins to finally identify disease neighborhood (s) within the networkΓÇóUses a topology of cellular protein interaction networks to rank all the proteins according to their relevance to the diseaseΓÇóIdentifies a local neighborhood within the protein interaction network that is responsible for a diseased phenotypeΓÇóHas been efficiently/successfully tested for identifying and validating asthma disease modulesΓÇóWould be useful for various commercial applications such as:oIdentification of novel drug targetsoIdentification of important gene functionsoIdentification of novel disease pathwaysoIdentification of molecular mechanismsoValidation of repurposed drugsoCreation of individualized disease modules for personal medicineoNon-medical application such as prioritization of nodes in a network

詳細技術說明

None

*Abstract

In prior-art, many techniques for systemic identification of genes related to complex diseases are available. Moreover, this domain has spurred a rapid progress over the last few years. However, understanding molecular and physiological mechanisms for exact action of these genes is still limited. This invention discloses a novel algorithm for detecting disease module (s) related to a given disease, identifying genes and gene products of putative relevance, and potentially addressing existing limitations and/or unmet needs.

*Principal Investigation

Name: Albert Lazlo-Barabasi

Department:

Name: Jorg Menche

Department:

Name: Amitabh Sharma

Department:

國家/地區

美國