PVCbase: an integrated web resource for the PVC bacterial proteomes.

Database (Oxford)

Centro Andaluz de Biología del Desarrollo, CSIC, Universidad Pablo de Olavide, Carretera de Utrera, Km. 1, Seville 41013, Spain.

Published: January 2018

AI Article Synopsis

  • There is increasing interest in the Planctomycetes-Verrucomicrobia-Chlamydiae (PVC) superphylum among microbiologists, but a lack of integrated resources.
  • PVCbase is a newly developed web resource that provides in silico predictions for 39 representative PVC proteomes, combining protein function annotations, a protein feature visualizer, and a custom BLAST webserver.
  • The platform offers various predictors to give users a comprehensive understanding of protein identities and can be used to address biological questions from raw data.

Article Abstract

Interest in the Planctomycetes-Verrucomicrobia-Chlamydiae (PVC) bacterial superphylum is growing within the microbiology community. These organisms do not have a specialized web resource that gathers in silico predictions in an integrated fashion. Hence, we are providing the PVC community with PVCbase, a specialized web resource that gathers in silico predictions in an integrated fashion. PVCbase integrates protein function annotations obtained through sequence analysis and tertiary structure prediction for 39 representative PVC proteomes (PVCdb), a protein feature visualizer (Foundation) and a custom BLAST webserver (PVCBlast) that allows to retrieve the annotation of a hit directly from the DataTables. We display results from various predictors, encompassing most functional aspects, allowing users to have a more comprehensive overview of protein identities. Additionally, we illustrate how the application of PVCdb can be used to address biological questions from raw data. PVCbase is freely accessible at: www.pvcbacteria.org/pvcbase.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5915940PMC
http://dx.doi.org/10.1093/database/bay042DOI Listing

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