Abstract
Natural products (NPs) exhibit diverse chemical structures and biological activities that make them valuable sources for drug discovery. With advancements in computational technology, computation-enabled natural drug discovery is gaining increasing significance, with NP databases playing a pivotal role. In light of this, we first summarize the key features of NP databases, including structural data, property annotations, biological sources, biosynthetic pathways, and web interfaces. Subsequently, the wide applications of these databases in drug discovery, such as virtual screening, knowledge graph construction, and molecular generation, are reviewed. We further discuss the puzzle of database development, focusing on data quality and updating. Finally, we emphasize the pivotal role of team collaboration and toolkit innovation in harnessing the immense potential of NP-related databases to accelerate bioactivity mining, structure modification, and manufacturing. This review aims to elucidate the key features and applications of NP databases, with the goal of aiding researchers in developing and maintaining high-quality NP databases for drug discovery.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
