A Sample-Centric and Knowledge-Driven Computational Framework for Natural Products Drug Discovery
ACS CENTRAL SCIENCE(2024)
摘要
The Experimental Natural Products Knowledge Graph (ENPKG) framework combines a sample-centric approach with semantic enrichment to organize large heterogeneous metabolomics data sets as a knowledge graph. Harmonization of experimental data with publicly available data sets and federated queries mechanisms enable efficient information extraction and the contextualization of metabolomics studies, thereby offering exciting opportunities for drug discovery and global chemodiversity characterization.
更多查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要