Abstract

The aim of this abstract is to provide a comprehensive overview of the research background, objectives, methodologies, and key findings in drug design and discovery based on bioinformatics. Through the integrated application of bioinformatics technologies such as genomics, proteomics, and metabolomics, this study has accelerated the drug development process and enhanced the efficiency and precision of drug design. The research approach involved deep mining of genomic data to identify drug targets, utilizing proteomics to decipher drug mechanisms of action, and employing metabolomics to predict drug metabolism and toxicity. Additionally, the paper discusses the application of drug design strategies based on deep learning and artificial intelligence in modern pharmaceutical research and development. The findings indicate that bioinformatics-based drug design and discovery not only enhance the efficiency of drug development but also provide valuable guidance for drug optimization and improvement. This study offers a useful reference for the field of bioinformatics-based drug design and discovery, and outlooks future trends and potential applications.