Dr. Neher's Biophysics Laboratory for Innovative Drug Discovery, State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macao, Macao SAR, China.
Intervention and Cell Therapy Center, Peking University Shenzhen Hospital, Shenzhen, China.
Front Immunol. 2024 Aug 14;15:1438030. doi: 10.3389/fimmu.2024.1438030. eCollection 2024.
With the COVID-19 pandemic, the importance of vaccines has been widely recognized and has led to increased research and development efforts. Vaccines also play a crucial role in cancer treatment by activating the immune system to target and destroy cancer cells. However, enhancing the efficacy of cancer vaccines remains a challenge. Adjuvants, which enhance the immune response to antigens and improve vaccine effectiveness, have faced limitations in recent years, resulting in few novel adjuvants being identified. The advancement of artificial intelligence (AI) technology in drug development has provided a foundation for adjuvant screening and application, leading to a diversification of adjuvants. This article reviews the significant role of tumor vaccines in basic research and clinical treatment and explores the use of AI technology to screen novel adjuvants from databases. The findings of this review offer valuable insights for the development of new adjuvants for next-generation vaccines.
随着 COVID-19 大流行，疫苗的重要性已得到广泛认可，并促使人们加大了研究和开发力度。疫苗在癌症治疗中也起着至关重要的作用，它可以激活免疫系统，靶向和破坏癌细胞。然而，提高癌症疫苗的疗效仍然是一个挑战。佐剂可以增强对抗原的免疫反应，提高疫苗的有效性，但近年来它们的应用受到了限制，导致很少有新的佐剂被发现。人工智能（AI）技术在药物开发方面的进步为佐剂的筛选和应用提供了基础，从而使佐剂的种类多样化。本文综述了肿瘤疫苗在基础研究和临床治疗中的重要作用，并探讨了利用 AI 技术从数据库中筛选新型佐剂。本综述的研究结果为开发新一代疫苗的新型佐剂提供了有价值的见解。
