APDDD: Animal parasitic diseases and drugs database.

Database Drugs Knowledge graph Parasitic diseases

Journal

Comparative immunology, microbiology and infectious diseases
ISSN: 1878-1667
Titre abrégé: Comp Immunol Microbiol Infect Dis
Pays: England
ID NLM: 7808924

Informations de publication

Date de publication:
15 Nov 2023
Historique:
received: 16 09 2023
revised: 26 10 2023
accepted: 13 11 2023
medline: 25 11 2023
pubmed: 25 11 2023
entrez: 24 11 2023
Statut: aheadofprint

Résumé

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.

Identifiants

DOI: 10.1016/j.cimid.2023.102096 PMID: 38000324
pubmed: 38000324
pii: S0147-9571(23)00154-6
doi: 10.1016/j.cimid.2023.102096
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

102096

Informations de copyright

Copyright © 2023 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare no competing interests.

Auteurs

Yilei Zhang (Y)

College of Animal Science and Technology, School of Information and Computer, Anhui Agricultural University, Hefei, Anhui Province 230036, China.

Guojun Chen (G)

College of Animal Science and Technology, School of Information and Computer, Anhui Agricultural University, Hefei, Anhui Province 230036, China.

Siyi Zhou (S)

College of Animal Science and Technology, School of Information and Computer, Anhui Agricultural University, Hefei, Anhui Province 230036, China.

Lingru He (L)

College of Animal Science and Technology, School of Information and Computer, Anhui Agricultural University, Hefei, Anhui Province 230036, China.

Olalekan Opeyemi Ayanniyi (OO)

College of Animal Science and Technology, School of Information and Computer, Anhui Agricultural University, Hefei, Anhui Province 230036, China.

Qianming Xu (Q)

College of Animal Science and Technology, School of Information and Computer, Anhui Agricultural University, Hefei, Anhui Province 230036, China.

Congshan Yang (C)

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.

Zhenyu Yue (Z)

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.

Classifications MeSH