基于多组学数据的纳米药物疗效生物标志物挖掘系统
By constructing a directed graph model of enzyme-catalyzed reactions and simulating temperature step sequences, rate-limiting enzyme-catalyzed reactions were identified, solving the accuracy problem of enzyme-catalyzed reaction identification in multi-omics data. This enabled accurate mapping of screening indicators for sensitive patients and data support for treatment strategies.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- XIAN PEIHUA UNIV
- Filing Date
- 2026-04-24
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies struggle to accurately identify key enzymatic reactions that limit the overall responsiveness of antioxidant metabolic networks based on multi-omics data, making it difficult to determine the combination of sensitive patient screening indicators related to the efficacy of nanomedicines. As a result, existing technologies have low reliability in determining sensitive patient screening indicators.
The nanomedicine efficacy biomarker mining system based on multi-omics data includes a preprocessing module, a deduction module, and an identification output module. By constructing a directed graph model of enzyme-catalyzed reactions, it simulates the temperature step sequence to drive the bidirectional rate update of supply and demand, locks the failure temperature, extracts the rate-limiting enzyme reaction set, and maps it to a combination of sensitive patient screening indicators.
This improved the accuracy of biomarker discovery related to the efficacy of nanomedicines, provided a structured analysis basis, and offered data support for the screening of sensitive patients and subsequent treatment strategies.
Smart Images
Figure CN122090934B_ABST