The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jun. 30, 2026
Filed:
Nov. 24, 2021
Northeastern University, Boston, MA (US);
Scipher Medicine Corporation, Waltham, MA (US);
The Brigham and Women's Hospital, Inc., Boston, MA (US);
President and Fellows of Harvard College, Cambridge, MA (US);
Deisy Morselli Gysi, Boston, MA (US);
Albert-László Barábasi, Brookline, MA (US);
Italo Faria Do Valle, Boston, MA (US);
Onur Varol, Cambridge, MA (US);
Xiao Gan, Boston, MA (US);
Asher Ameli, Kenmore, WA (US);
Joseph Loscalzo, Boston, MA (US);
Marinka Zitnik, Boston, MA (US);
Susan Ghiassian, Coquitlam, CA;
Northeastern University, Boston, MA (US);
Scipher Medicine Corporation, Waltham, MA (US);
The Brigham and Women's Hospital, Inc., Boston, MA (US);
President and Fellows of Harvard College, Cambridge, MA (US);
Abstract
Methods and systems for generating drug repurposing predictions for a disease caused by a pathogen, such as a novel pathogen, are provided. A multi-modal system includes a protein-protein interaction network (PPI), a graph neural network (GNN), a diffusion module, a proximity module, and an aggregation module. The GNN is configured to predict new edges between candidate drug nodes and disease nodes in an embedded representation of the PPI to produce a decoded embedding space. The diffusion module is configured to determine a proximity distance for pairs of nodes in the PPI, and the proximity module is configured to determine a proximity distance for pairs of nodes in the PPI, each pair comprising a pathogen-protein node and a drug-protein node. A ranked list of candidate drugs predicted to be effective in treatment of the disease based on candidate drug lists generated by the other modules is generated by the aggregation module.