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VHLdb: A database of von Hippel-Lindau protein interactors and mutations

Francesco Tabaro1,2, Giovanni Minervini1, Faiza Sundus1

  • 1Department of Biomedical Sciences and CRIBI Biotechnology Center, University of Padova, Viale G. Colombo 3, 35121, Padova, Italy.

Scientific Reports
|August 12, 2016
PubMed

Insights

The von Hippel-Lindau tumor suppressor protein (pVHL) database (VHLdb) consolidates scattered pVHL interaction and mutation data. This resource aids in understanding pVHL

Area of Science:

  • Molecular Biology
  • Genetics
  • Bioinformatics

Background:

  • Mutations in the von Hippel-Lindau tumor suppressor protein (pVHL) are linked to various tumors, including those in the retina, kidney, and adrenal glands.
  • Existing information on pVHL interactors and mutations is fragmented across multiple sources, hindering comprehensive analysis.

Purpose of the Study:

  • To introduce VHLdb, a novel, integrated database for pVHL interaction and mutation data.
  • To facilitate a deeper understanding of the biological roles of pVHL.

Main Methods:

  • Collected and organized pVHL interacting protein data into manual and automatic annotation levels.
  • Integrated mutation data with a novel visualization tool.
  • Implemented a community-driven curation feedback function.

Main Results:

  • VHLdb currently houses 478 pVHL interactors, with 117 manually curated.
  • The database includes 1,074 documented mutations.
  • VHLdb is the most extensive repository for pVHL-related information.

Conclusions:

  • VHLdb provides a centralized and comprehensive resource for pVHL research.
  • The database enhances accessibility to crucial interaction and mutation data, supporting future investigations into pVHL's function and associated diseases.

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