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US 2021/0202029 A1Published application
Examination of network effects of immune modulation
AssigneeThe Board of Trustees of the Leland Stanford Junior University
InventorsMichelle Atallah, Parag Mallick
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Abstract
A software model for directed graph representation of the intercellular immune interaction network which can be used to extract mechanistic insight from immune data in order to predict the outcome of immune system perturbations, identify effective drug targets, stratify patients, and inform therapeutic selection.
Claims9
A processor-based method of generating a directed graph representation of intercellular immune interaction network, to extract mechanistic insight from immune data, comprising:
- accessing a model database that stores a network model comprising a plurality of nodes and edges, wherein
- entities that interact with the immune system or participate in an immune response comprising immune cells, cytokines, immune effector molecules, and antibody isotypes, are represented as nodes;
- interactions between the nodes are designated as edges, wherein each edge records the name of the source and target nodes, the direction and type of interaction, the immune process in which the interaction participates, and annotates the source from which the information originated;
- wherein operations are performed through a processor to generate a system-wide graphical representation of the immune interaction network.
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