APDDD: Animal parasitic diseases and drugs database

Yilei Zhang; Guojun Chen; Siyi Zhou; Lingru He; Olalekan Opeyemi Ayanniyi; Qianming Xu; Zhenyu Yue; Congshan Yang

doi:10.1016/j.cimid.2023.102096

APDDD: Animal parasitic diseases and drugs database

Comp Immunol Microbiol Infect Dis. 2024 Jan:104:102096. doi: 10.1016/j.cimid.2023.102096. Epub 2023 Nov 15.

Authors

Yilei Zhang¹, Guojun Chen¹, Siyi Zhou¹, Lingru He¹, Olalekan Opeyemi Ayanniyi¹, Qianming Xu¹, Zhenyu Yue², Congshan Yang³

Affiliations

¹ College of Animal Science and Technology, School of Information and Computer, Anhui Agricultural University, Hefei, Anhui Province 230036, China.
² College of Animal Science and Technology, School of Information and Computer, Anhui Agricultural University, Hefei, Anhui Province 230036, China. Electronic address: zhenyuyue@ahau.edu.cn.
³ College of Animal Science and Technology, School of Information and Computer, Anhui Agricultural University, Hefei, Anhui Province 230036, China; Anhui Province Key Laboratory of Veterinary Pathobiology and Disease Control, College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China. Electronic address: congshanyang@sina.cn.

PMID: 38000324
DOI: 10.1016/j.cimid.2023.102096

Abstract

Animal parasitic diseases not only have an economic impact, but also have serious social and public health impacts. Although antiparasitic drugs can treat these diseases, it seems difficult for users to comprehensively utilize the information, due to incomplete and difficult data collection. Thus, there is an urgent need to establish a comprehensive database, that includes parasitic diseases and related drugs. In this paper, we develop a knowledge database dedicated to collecting and analyzing animal parasitic diseases and related drugs, named Animal Parasitic Diseases and Drugs Database (APDDD). The current version of APDDD includes animal parasitic disease data of 8 major parasite classifications that cause common parasitic diseases and 96 subclass samples mined from many literature and authoritative books, as well as 182 antiparasitic drugs. Furthermore, we utilized APDDD data to add a knowledge graph representing the relationships between parasitic diseases, drugs, and the targeted gene of drugs acting on parasites. We hope that APDDD will become a good database for animal parasitic diseases and antiparasitic drugs research and that users can gain a more intuitive understanding of the relationships between parasitic diseases, drugs, and targeted genes through the knowledge graph.

Keywords: Database; Drugs; Knowledge graph; Parasitic diseases.

MeSH terms

Animals
Antiparasitic Agents / therapeutic use
Parasites*
Parasitic Diseases* / drug therapy
Parasitic Diseases* / epidemiology
Parasitic Diseases, Animal* / drug therapy
Parasitic Diseases, Animal* / epidemiology
Public Health

Substances

Antiparasitic Agents