DGPD: a knowledge database of dense granule proteins of the Apicomplexa

Author:

Hu Hang1,Lu Zhenxiao1,Feng Haisong1,Chen Guojun1,Wang Yongmei1,Yang Congshan1,Yue Zhenyu1ORCID

Affiliation:

1. School of Information and Computer, College of Animal Science and Technology, Anhui Provincial Engineering Laboratory for Beidou Precision Agriculture Information, Anhui Agricultural University , 130 Changjiangxilu, Hefei, Anhui 230036, P. R. China

Abstract

Abstract Apicomplexan parasites cause severe diseases in human and livestock. Dense granule proteins (GRAs), specific to the Apicomplexa, participate in the maintenance of intracellular parasitism of host cells. GRAs have better immunogenicity and they can be emerged as important players in vaccine development. Although studies on GRAs have increased gradually in recent years, due to incompleteness and complexity of data collection, biologists have difficulty in the comprehensive utilization of information. Thus, there is a desperate need of user-friendly resource to integrate with existing GRAs. In this paper, we developed the Dense Granule Protein Database (DGPD), the first knowledge database dedicated to the integration and analysis of typical GRAs properties. The current version of DGPD includes annotated GRAs metadata of 245 samples derived from multiple web repositories and literature mining, involving five species that cause common diseases (Plasmodium falciparum, Toxoplasma gondii, Hammondia hammondi, Neospora caninum and Cystoisospora suis). We explored the baseline characteristics of GRAs and found that the number of introns and transmembrane domains in GRAs are markedly different from those of non-GRAs. Furthermore, we utilized the data in DGPD to explore the prediction algorithms for GRAs. We hope DGPD will be a good database for researchers to study GRAs. Database URL: http://dgpd.tlds.cc/DGPD/index/

Funder

National Natural Science Foundation of China

Introduction and Stabilization of Talent Project of Anhui Agricultural University

Natural Science Young Foundation of Anhui Agricultural University

Natural Science Young Foundation of Anhui

Publisher

Oxford University Press (OUP)

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,Information Systems

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