Υπολογιστική Επαναστόχευση Φαρμάκων
Date Issued
October 17, 2024
Type
Πτυχιακή Εργασία
Abstract
Drug repurposing involves identifying new therapeutic uses for existing drugs and discovering treatments for previously untreatable diseases. It is critical for enhancing the preclinical development process of new drugs, as it can significantly reduce both time and cost compared to traditional de novo drug discovery methods. The increase in publicly available large-scale biological, biomedical, and electronic health data, combined with advanced high-performance computational capabilities, has accelerated the development of computational approaches to drug repurposing. Researchers from various fields have undertaken numerous efforts, with varying degrees of success, to computationally investigate the potential of drug repurposing for alternative indications. This study reviews the recent progress in computational drug repurposing. By analyzing 26 relevant studies sourced from databases such as IEEE Xplore, PubMed, and Google Scholar, this review highlights developments, methodologies, and outcomes in this innovative field. The main focus is on integrating genomic, transcriptomic and chemical structure data to identify new therapeutic uses for existing drugs. Initially, we examine different drug repurposing strategies and provide an overview of commonly used resources. Next, we summarize the computational methods widely applied in drug repurposing research. We then present various computational and experimental models used to validate these methods. We also discuss potential opportunities and target areas for future exploration. Finally, we address the challenges and limitations facing computational drug repurposing and outline directions for future research.
The findings demonstrate that computational drug repurposing not only enhances our understanding of drug mechanisms but also accelerates the discovery of new drug-disease associations. This review highlights the significant potential of computational techniques to improve the efficiency of drug development and address unmet medical needs through the repurposing of existing pharmacological agents.
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