Endocrine disrupter identification method and system

By constructing a global AOP network and performing node gene set enrichment analysis, combined with multidimensional feature extraction and standardization processing, and training an activity prediction model, the problem of low efficiency in traditional endocrine disruptor identification methods is solved, achieving efficient and low-cost compound screening.

CN121583375APending Publication Date: 2026-02-27SUN YAT SEN UNIV
0 Cites 0 Cited by

Patent Information

Application Number
CN202511730049.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-11-24
Publication Date
2026-02-27

AI Technical Summary

Technical Problem

Existing endocrine disruptor identification methods are insufficient for efficiently identifying a large number of potential compounds. Traditional methods are inefficient, costly, and have limited coverage, failing to meet the needs of large-scale compound screening.

Method used

By constructing a global AOP network and performing node gene set enrichment analysis, combined with compound-toxicity endpoint interaction data from a pre-defined database, multidimensional feature extraction and standardization are performed to train an activity prediction model, enabling the rapid output of multidimensional features of compounds and the activity probability results of multiple predicted endpoints.

Benefits of technology

It significantly shortens the identification cycle of endocrine disruptors, reduces experimental costs, and is suitable for the preliminary screening of unknown compounds or a large number of candidate compounds in the environment, improving identification efficiency and accuracy.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The invention discloses an endocrine disrupter identification method and system, and the method comprises the steps: carrying out the multi-dimensional feature extraction of a to-be-identified target compound, and obtaining the features of the target compound; respectively inputting the target compound characteristics into an activity prediction model corresponding to each prediction end point type to obtain an activity probability prediction result corresponding to each prediction end point; generating a recognition result of the target compound corresponding to each activity probability prediction result; according to the endocrine disrupter identification method, the identification efficiency of the endocrine disrupter is greatly improved.
Need to check novelty before this filing date? Find Prior Art