Catalytic antibody database system and knowledge discovery method based on knowledge graph
Through the catalytic antibody database system based on knowledge graph, the multi-source prior knowledge of catalytic antibodies is integrated, and the fine-grained knowledge correlation and flow state are deeply revealed, which solves the problem of slow knowledge update speed of catalytic antibody research process and knowledge, and realizes accurate and efficient knowledge discovery services, and improves scientific research efficiency.
Patent Information
- Application Number
- CN202311569564.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-11-20
- Publication Date
- 2025-03-18
- Estimated Expiration
- 2043-11-20
AI Technical Summary
The process and knowledge update of catalytic antibody research is slow, and there is a stagnation in research, mainly due to the knowledge and demand barriers between different subjects, as well as the scarcity and dispersion of research materials.
Using a catalytic antibody database system based on knowledge graphs, the multi-source prior knowledge of catalytic antibodies is integrated through the domain knowledge graph construction module, the key knowledge path mining module and the catalytic antibody knowledge discovery service module, the multi-source prior knowledge of catalytic antibodies is integrated, and the fine-grained knowledge association and flow state are deeply revealed, providing accurate and efficient knowledge discovery services.
Through the embedded semantic analysis and graph mining functions of the knowledge graph, accurate and efficient knowledge discovery services are provided for scientific research and innovation activities, helping scientific researchers quickly grasp the overall appearance of domain knowledge, explore reference value antibody enzyme synthesis solutions and potential disease treatment methods, and improve scientific research efficiency.