DDCM: A Computational Strategy for Drug Repositioning Based on Support-Vector Regression Algorithm.

ABSTRACT: Computational drug-repositioning technology is an effective tool for speeding up drug development. As biological data resources continue to grow, it becomes more important to find effective methods to identify potential therapeutic drugs for diseases. The effective use of valuable data has become a more rational and efficient approach to drug repositioning. The disease-drug correlation method (DDCM) proposed in this study is a novel approach that integrates data from multiple sources and different levels to predict potential treatments for diseases, utilizing support-vector regression (SVR). The DDCM approach resulted in potential therapeutic drugs for neoplasms and cardiovascular diseases by constructing a correlation hybrid matrix containing the respective similarities of drugs and disea

SUBMITTER: Xu M 

PROVIDER: S-EPMC11121335 | biostudies-literature | 2024 May

REPOSITORIES: biostudies-literature