Research on Drug Repositioning Based on Multi-omics Data Mining

Corresponding author: houyuefang, yfhou@cmu.edu.cn

DOI: 10.12201/bmr.202511.00055

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  Abstract: Purpose/Significance By utilizing multi-omics databases related to drug repositioning, a multi-omics data fusion and mining framework is constructed to conduct research on drug repositioning for diseases, providing a basis for drug development.Method/Process Genetic variations, metabolites, proteins, and epigenetic changes related to diseases are retrieved and extracted from multi-omics databases such as GWAS, HMDB, and PubMed, and then fused, mined, and processed to obtain disease-related proteins. A protein network is constructed and analyzed. Potential drugs are screened from the TTD and DrugBank databases based on the related proteins of the disease. The target priority is calculated using a weighted sum model, and drugs are selected based on the preferred target proteins. Taking Alzheimers disease (AD) as an example, potential anti-AD drugs are predicted.Result/Conclusion A multi-omics data fusion and mining framework is constructed. Through empirical research, a total of 556 AD-related proteins are obtained. After calculating the priority of AD proteins, the top two anti-AD target proteins and their related drugs are screened, ultimately achieving drug repositioning.

  Key words: Multi-omics data; Data mining; Drug repositioning; Weighted sum model

  Submit time: 20 November 2025

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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