This invention relates to a high-
throughput prediction method and
system for
drug-regulatory element associations. The method includes: constructing a regulatory element-
transcription factor network; constructing a regulatory element-
target gene network; using the expression levels of transcription factors bound to the regulatory element and the
target gene of the regulatory element as inputs, constructing a predictive model of the
chromatin openness of the regulatory element; using
gene expression levels under different
drug action conditions as inputs, using the predictive model to predict and compare the openness of the regulatory element under different
drug action conditions, thereby predicting drug-regulatory element associations. This invention can predict the relationship between regulatory elements and drugs at the
genome-wide level with high
throughput, enabling high-
throughput screening of drug-regulatory element associations with relatively low investment, reducing
drug development risks. These associations have potential value in research on drug mechanisms, drug combinations, and drug repositioning.