Method and apparatus for deriving novel anticancer drugs using co-essentiality networks
The co-essentiality network method addresses the lack of accuracy in existing network-based approaches by creating a network that identifies cancer-specific drugs and predicts drug responses, forming clustered modules for new anticancer drug targets.
Patent Information
- Application Number
- JP2023210028
- Authority / Receiving Office
- JP · JP
- Patent Type
- Patents
- Current Assignee / Owner
- Priority Date
- 2023-11-30
- Filing Date
- 2023-12-13
- Publication Date
- 2025-10-31
- Estimated Expiration
- 2043-12-13
AI Technical Summary
Existing network-based approaches for identifying anticancer drug targets lack accuracy and specificity, as the choice of network significantly impacts performance, and co-essentiality networks have not been utilized effectively for deriving new anticancer drugs.
A method and apparatus using a co-essentiality network to derive new anticancer drugs by obtaining gene-genomic data, measuring gene similarity, creating a co-essentiality network, and extracting a cancer-related driver module to identify potential drug targets.
The co-essentiality network accurately identifies cancer-specific drugs and predicts drug responses, forming highly clustered network modules of potential drug targets, providing valuable resources for precision oncology and new treatment opportunities.