journal article·2023-01-27Open access

GDReBase: A Knowledge Base for Relations between Human Gut Microbes and Diseases Based on Deep Learning

Haolei Xu, Xin Li, Xiaolong Dai, Chunhao Liu, Dongxiao Wang, Chenghao Zheng, Kaihua Liu, Sitong Liu, Yufei Zeng, Ziyang Song, Shanzhu Cui, Yongdong Xu

Applied Sciences· Volume 13· Issue 3

Abstract

Gut microbes play a prominent role in many aspects of human health, as seen through the increasing number of related studies. The accumulation of intestinal-flora-related studies enables us to better understand the various relationships between human gut microbes and other factors that affect the human body. However, the existing database does not meet the requirements of scientists to browse or retrieve the latest and most comprehensive published data. Thus, a knowledge base containing data related to gut microbes with updates occurring in real time would be highly valuable. We present a knowledge base of consistently curated relationships between human gut microbes and disease. By continuously and automatically collecting papers published in mainstream journals and using deep learning and NLP methods for entity relationship identification, GDReBase has now integrated 3674 diseases, 687 microbes, 7068 relationships, and 13,553 pieces of evidence from 518,286 papers, a figure that will continue to grow. GDReBase is a convenient and comprehensive resource for gut microbiology research and can be accessed free of charge.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Gut microbiota and health · Probiotics and Fermented Foods · Biomedical Text Mining and Ontologies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Computer Science and Technology, Harbin Institute of Technology at Weihai, Weihai 264209, China

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