COVID-19 literature knowledge graph construction and drug repurposing report generation

Q Wang, M Li, X Wang, N Parulian, G Han, J Ma… - arXiv preprint arXiv …, 2020 - arxiv.org
To combat COVID-19, both clinicians and scientists need to digest vast amounts of relevant
biomedical knowledge in scientific literature to understand the disease mechanism and …

A review of recent advances and research on drug target identification methods

Y Hu, T Zhao, N Zhang, Y Zhang… - Current drug …, 2019 - ingentaconnect.com
Background: From a therapeutic viewpoint, understanding how drugs bind and regulate the
functions of their target proteins to protect against disease is crucial. The identification of …

[HTML][HTML] A comprehensive evaluation of biomedical entity linking models

D Kartchner, J Deng, S Lohiya, T Kopparthi… - Proceedings of the …, 2023 - ncbi.nlm.nih.gov
Biomedical entity linking (BioEL) is the process of connecting entities referenced in
documents to entries in biomedical databases such as the Unified Medical Language …

SympGAN: A systematic knowledge integration system for symptom–gene associations network

K Lu, K Yang, H Sun, Q Zhang, Q Zheng, K Xu… - Knowledge-Based …, 2023 - Elsevier
Phenotypes (ie, symptoms and clinical signs) are essential for clinical diagnosis and
research related to symptom science and precision health. As clinical observational …

Cell-specific gene networks and drivers in rheumatoid arthritis synovial tissues

A Pelissier, T Laragione, PS Gulko… - Frontiers in …, 2024 - frontiersin.org
Rheumatoid arthritis (RA) is a common autoimmune and inflammatory disease
characterized by inflammation and hyperplasia of the synovial tissues. RA pathogenesis …

Heterogeneous network embedding enabling accurate disease association predictions

Y Xiong, M Guo, L Ruan, X Kong, C Tang, Y Zhu… - BMC medical …, 2019 - Springer
Background It is significant to identificate complex biological mechanisms of various
diseases in biomedical research. Recently, the growing generation of tremendous amount of …

Heterogeneous network embedding for identifying symptom candidate genes

K Yang, N Wang, G Liu, R Wang, J Yu… - Journal of the …, 2018 - academic.oup.com
Objective Investigating the molecular mechanisms of symptoms is a vital task in precision
medicine to refine disease taxonomy and improve the personalized management of chronic …

Network pharmacology of Yougui pill combined with Buzhong Yiqi decoction for the treatment of sexual dysfunction

Y Wang, W Yu, C Shi, W Jiao, J Li, J Ge… - Evidence‐Based …, 2019 - Wiley Online Library
Purpose. We aimed to find the possible key targets of Yougui pill and Buzhong Yiqi
decoction for the treatment of sexual dysfunction. Materials and Methods. The composition of …

GNDD: A graph neural network-based method for drug-disease association prediction

B Wang, X Lyu, J Qu, H Sun, Z Pan… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Potential drug-disease association prediction is important to facilitate drug discovery.
However, most of existing drug-disease association prediction approaches rely on …

Deciphering the multicomponent synergy mechanism from a systems pharmacology perspective: application to Gualou Xiebai decoction for coronary heart disease

Y Yang, C Huang, X Su, J Zhu, X Chen, Y Fu… - Journal of Functional …, 2018 - Elsevier
Coronary heart disease (CHD) is often accompanied with diabetes mellitus, which leads the
limited effect of monotherapy. Drug combinations are deemed to a promising approach for …