ArticleBMC bioinformatics2014
DBSecSys: a database of Burkholderia mallei secretion systems.
Article in BMC bioinformatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 10 citations in OpenAlex.
- Function-based classification of hazardous biological sequences: Demonstration of a new paradigm for biohazard assessments.Frontiers in bioengineering and biotechnology · 2022Article
- Type VI Secretion Effectors: Methodologies and Biology.Frontiers in cellular and infection microbiology · 2017Review
- Mechanisms of action of Coxiella burnetii effectors inferred from host-pathogen protein interactions.PloS one · 2017Article
- DBSecSys 2.0: a database of Burkholderia mallei and Burkholderia pseudomallei secretion systems.BMC bioinformatics · 2016Article
- Phenotypic Characterization of a Novel Virulence-Factor Deletion Strain of Burkholderia mallei That Provides Partial Protection against Inhalational Glanders in Mice.Frontiers in cellular and infection microbiology · 2016Article
- Computational Prediction of Effector Proteins in Fungi: Opportunities and Challenges.Frontiers in plant science · 2016Review
- Databases for Microbiologists.Journal of bacteriology · 2015Review
- Mining host-pathogen protein interactions to characterize Burkholderia mallei infectivity mechanisms.PLoS computational biology · 2015Article
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBacterial pathogenicity represents a major public health concern worldwide. Secretion systems are a key component of bacterial pathogenicity, as they provide the means for bacterial proteins to penetrate host-cell membranes and insert themselves directly into the host cells' cytosol. Burkholderia mallei is a Gram-negative bacterium that uses multiple secretion systems during its host infection life cycle. To date, the identities of secretion system proteins for B. mallei are not well known, and their pathogenic mechanisms of action and host factors are largely uncharacterized. DESCRIPTION: We present the Database of Burkholderia malleiSecretion Systems (DBSecSys), a compilation of manually curated and computationally predicted bacterial secretion system proteins and their host factors. Currently, DBSecSys contains comprehensive experimentally and computationally derived information about B. mallei strain ATCC 23344. The database includes 143 B. mallei proteins associated with five secretion systems, their 1,635 human and murine interacting targets, and the corresponding 2,400 host-B. mallei interactions. The database also includes information about 10 pathogenic mechanisms of action for B. mallei secretion system proteins inferred from the available literature. Additionally, DBSecSys provides details about 42 virulence attenuation experiments for 27 B. mallei secretion system proteins. Users interact with DBSecSys through a Web interface that allows for data browsing, querying, visualizing, and downloading.
conclusionsDBSecSys provides a comprehensive, systematically organized resource of experimental and computational data associated with B. mallei secretion systems. It provides the unique ability to study secretion systems not only through characterization of their corresponding pathogen proteins, but also through characterization of their host-interacting partners.The database is available at https://applications.bhsai.org/dbsecsys.
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