Duncan Katharine K, Rudnicki Dobrila D, Austin Christopher P, Tagle Danilo A
National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, MD, United States.
Front Robot AI. 2020 Jan 10;6:143. doi: 10.3389/frobt.2019.00143. eCollection 2019.
In recent years, artificial intelligence (AI)/machine learning (ML; a subset of AI) have become increasingly important to the biomedical research community. These technologies, coupled to big data and cheminformatics, have tremendous potential to improve the design of novel therapeutics and to provide safe and effective drugs to patients. A National Center for Advancing Translational Sciences (NCATS) program called A Specialized Platform for Innovative Research Exploration (ASPIRE) leverages advances in AI/ML, automated synthetic chemistry, and high-throughput biology, and seeks to enable translation and drug development by catalyzing exploration of biologically active chemical space. Here we discuss the opportunities and challenges surrounding the application of AI/ML to the exploration of novel biologically relevant chemical space as part of ASPIRE.
近年来,人工智能(AI)/机器学习(ML;AI的一个子集)对生物医学研究界变得越来越重要。这些技术与大数据和化学信息学相结合,在改进新型治疗方法的设计以及为患者提供安全有效的药物方面具有巨大潜力。美国国立转化医学推进中心(NCATS)的一个名为“创新研究探索专用平台”(ASPIRE)的项目,利用AI/ML、自动化合成化学和高通量生物学的进展,并试图通过催化对生物活性化学空间的探索来推动转化和药物开发。在此,我们将讨论作为ASPIRE一部分,将AI/ML应用于探索新型生物相关化学空间所面临的机遇和挑战。