HERB

HERB database integrates four types of evidence for TCM: (i) we curated 8558 clinical trials and 8032 meta-analyses information for TCM and extracted clear clinical conclusions for 1941 clinical trials and 593 meta-analyses with companion supporting papers. (ii) we updated experimental evidence for TCM, increased the number of high-throughput experiments to 2231, and curated references to 6 644. We newly added high-throughput experiments for 376 diseases and evaluated all pairwise similarities among TCM herbs/ingredients/formulae, modern drugs and diseases. (iii) we provide an automatic analyzing interface for users to upload their gene expression profiles and map them to our curated datasets. (iv) we built knowledge graph representations of HERB entities and relationships to retrieve TCM knowledge better.HERB数据库整合了中医药（Traditional Chinese Medicine, TCM）四类研究证据：(i) 我们共整理了8558项中医药临床试验与8032项荟萃分析的相关信息，并为其中1941项临床试验及593项荟萃分析提取了明确的临床结论，且配套了对应的支撑文献；(ii) 我们更新了中医药实验证据库，将高通量实验（high-throughput experiments）的数量提升至2231组，整理的参考文献达6644篇；新增了针对376种疾病的高通量实验数据，并对中医药草药、有效成分、方剂、现代药物与疾病之间的全部两两相似性开展了评估；(iii) 我们为用户提供了自动化分析接口，支持用户上传基因表达谱数据并将其映射至本团队整理的数据集当中；(iv) 我们构建了HERB实体及其关联关系的知识图谱（Knowledge Graph）表征形式，以更高效地检索中医药相关知识。

搜集汇总

背景与挑战

背景概述

HERB 2.0是一个整合了传统中医临床与实验证据的高通量实验和参考文献数据库。它包含大量数据，如6,743个方剂、8,558个临床试验和6,644篇参考文献，旨在通过高质量证据支持中医药研究。该数据库还提供知识图谱和自动分析界面，以提升中医药知识的检索效率。