| Literature DB >> 33084862 |
Jiawei Wang1, Jiahui Li1,2,3, Yi Hou3, Wei Dai1,3, Ruopeng Xie3, Tatiana T Marquez-Lago4,5, André Leier4,5, Tieli Zhou2, Von Torres1, Iain Hay6, Christopher Stubenrauch1, Yanju Zhang3, Jiangning Song7,8,9, Trevor Lithgow1.
Abstract
Gram-negative bacteria utilize secretion systems to export substrates into their surrounding environment or directly into neighboring cells. These substrates are proteins that function to promote bacterial survival: by facilitating nutrient collection, disabling competitor species or, for pathogens, to disable host defenses. Following a rapid development of computational techniques, a growing number of substrates have been discovered and subsequently validated by wet lab experiments. To date, several online databases have been developed to catalogue these substrates but they have limited user options for in-depth analysis, and typically focus on a single type of secreted substrate. We therefore developed a universal platform, BastionHub, that incorporates extensive functional modules to facilitate substrate analysis and integrates the five major Gram-negative secreted substrate types (i.e. from types I-IV and VI secretion systems). To our knowledge, BastionHub is not only the most comprehensive online database available, it is also the first to incorporate substrates secreted by type I or type II secretion systems. By providing the most up-to-date details of secreted substrates and state-of-the-art prediction and visualized relationship analysis tools, BastionHub will be an important platform that can assist biologists in uncovering novel substrates and formulating new hypotheses. BastionHub is freely available at http://bastionhub.erc.monash.edu/.Entities:
Year: 2021 PMID: 33084862 PMCID: PMC7778982 DOI: 10.1093/nar/gkaa899
Source DB: PubMed Journal: Nucleic Acids Res ISSN: 0305-1048 Impact factor: 16.971