title: DBSecSys: a database of Burkholderia mallei secretion systems.
abstract: BACKGROUND
  Bacterial 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.
  
  
  METHODS
  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.
  
  
  CONCLUSIONS
  DBSecSys 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.
authors.forename: Vesna
authors.initials: V
authors.lastname: Memišević
authors.forename: Kamal
authors.initials: K
authors.lastname: Kumar
authors.forename: Li
authors.initials: L
authors.lastname: Cheng
authors.forename: Nela
authors.initials: N
authors.lastname: Zavaljevski
authors.forename: David
authors.initials: D
authors.lastname: DeShazer
authors.forename: Anders
authors.initials: A
authors.lastname: Wallqvist
authors.affiliation: Department of Defense Biotechnology High Performance Computing Software Applications Institute, Telemedicine and Advanced Technology Research Center, U,S, Army Medical Research and Materiel Command, Fort Detrick, MD 21702, USA. jaques.reifman.civ@mail.mil.
authors.forename: Jaques
authors.initials: J
authors.lastname: Reifman
mesh_terms: D000818:Animals; D001426:Bacterial Proteins / Q000378:metabolism*; D058947:Bacterial Secretion Systems; D042726:Burkholderia mallei / Q000378:metabolism / Q000472:pathogenicity / Q000502:physiology*; D030562:Databases, Protein; D054884:Host-Pathogen Interactions; D006801:Humans; D051379:Mice; D037521:Virulence Factors / Q000378:metabolism
chemical_list: D001426:Bacterial Proteins; D058947:Bacterial Secretion Systems; D037521:Virulence Factors