Drug Design and Discovery Based on Bioinformatics
基于生物信息学的药物设计与发现

摘要

本摘要旨在全面概述基于生物信息学的药物设计与发现的研究背景、目标、方法和关键研究成果。通过整合应用基因组学、蛋白质组学和代谢组学等生物信息学技术，本研究加速了药物研发进程，提高了药物设计的效率和精准度。研究方法包括深度挖掘基因组数据以识别药物靶点，利用蛋白质组学阐明药物作用机制，以及利用代谢组学预测药物代谢和毒性。此外，本文还探讨了基于深度学习和人工智能的药物设计策略在现代药物研发中的应用。研究结果表明，基于生物信息学的药物设计与发现不仅可以提高药物研发效率，还能为药物的优化和改进提供有价值的指导。本研究为基于生物信息学的药物设计与发现领域提供了有益的参考，并展望了未来趋势和潜在应用。

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.