Drug discovery and development is a highly complex and costly endeavor, typically requiring over a decade and substantial financial investment to bring a new drug to market. Traditional computer-aided drug design (CADD) has made significant progress in accelerating this process, but the development of quantum computing offers potential due to its unique capabilities. This paper discusses the integration of quantum computing into drug discovery and development, focusing on how quantum technologies might accelerate and enhance various stages of the drug development cycle. Specifically, we explore the application of quantum computing in addressing challenges related to drug discovery, such as molecular simulation and the prediction of drug-target interactions, as well as the optimization of clinical trial outcomes. By leveraging the inherent capabilities of quantum computing, we might be able to reduce the time and cost associated with bringing new drugs to market, ultimately benefiting public health.

本研究探讨了药物发现和开发中存在的高复杂性和高成本问题，尤其是传统计算机辅助药物设计的局限性。论文提出了量子计算在药物发现中的应用，强调其在分子模拟、药物靶向相互作用预测以及临床试验结果优化中的潜力，显示出量子技术可能显著缩短药物上市所需的时间和成本，对公共健康产生积极影响。

量子机器辅助药物发现：调查与展望