Associate Laboratory i4HB-Institute for Health and Bioeconomy, NOVA School of Science and Technology, NOVA University Lisbon, 2819-516 Caparica, Portugal.
UCIBIO-Applied Molecular Biosciences Unit, Chemistry Department, NOVA School of Science and Technology, NOVA University of Lisbon, 2819-516 Caparica, Portugal.
Mar Drugs. 2023 May 19;21(5):308. doi: 10.3390/md21050308.
Natural Products (NP) are essential for the discovery of novel drugs and products for numerous biotechnological applications. The NP discovery process is expensive and time-consuming, having as major hurdles dereplication (early identification of known compounds) and structure elucidation, particularly the determination of the absolute configuration of metabolites with stereogenic centers. This review comprehensively focuses on recent technological and instrumental advances, highlighting the development of methods that alleviate these obstacles, paving the way for accelerating NP discovery towards biotechnological applications. Herein, we emphasize the most innovative high-throughput tools and methods for advancing bioactivity screening, NP chemical analysis, dereplication, metabolite profiling, metabolomics, genome sequencing and/or genomics approaches, databases, bioinformatics, chemoinformatics, and three-dimensional NP structure elucidation.
天然产物(NP)是发现新型药物和生物技术应用产品的关键。NP 发现过程既昂贵又耗时,主要障碍包括去重复(早期识别已知化合物)和结构阐明,特别是具有立体中心的代谢物的绝对构型的确定。本综述全面关注了最近的技术和仪器方面的进展,强调了开发减轻这些障碍的方法的重要性,为加速 NP 发现以应用于生物技术铺平了道路。在此,我们强调了最具创新性的高通量工具和方法,用于推进生物活性筛选、NP 化学分析、去重复、代谢物分析、代谢组学、基因组测序和/或基因组学方法、数据库、生物信息学、化学信息学以及三维 NP 结构阐明。