SiMPLOD, a Structure-Integrated Database of Collagen Lysyl Hydroxylase (LH/PLOD) Enzyme Variants

Luigi Scietti1, Matteo Campioni1, Federico Forneris1

  • 1The Armenise-Harvard Laboratory of Structural Biology, Department of Biology and Biotechnology, University of Pavia, Pavia, Italy.

Insights

We developed SiMPLOD, a database for PLOD gene mutations, aiding researchers in understanding collagen disorders. It visualizes mutations on 3D structures, improving interpretation of disease phenotypes.

Area of Science:

  • Biochemistry
  • Structural Biology
  • Genetics

Background:

  • PLOD genes encode procollagen lysyl hydroxylase (LH/PLOD) enzymes crucial for collagen biosynthesis.
  • Mutations in PLOD genes cause severe genetic disorders, including Ehlers-Danlos and Bruck syndromes.
  • Understanding mutation impacts is hindered by limited accessibility of complex structural data.

Purpose of the Study:

  • To create a user-friendly, publicly accessible database for PLOD gene mutations.
  • To facilitate the interpretation of disease phenotypes by visualizing mutations on 3D molecular structures.
  • To integrate clinical and biochemical data with structural information for comprehensive analysis.

Main Methods:

  • Developed SiMPLOD, a manually curated online database.
  • Integrated a molecular viewer for visualizing mutations on available LH/PLOD protein structures.
  • Annotated each mutation with literature-derived data and structural localization.
  • Provided links to external clinical and biochemical resources.

Main Results:

  • SiMPLOD provides a centralized platform for PLOD gene mutation data.
  • The integrated viewer allows direct visualization and interpretation of mutations on 3D models.
  • Manual annotations and external links enhance data accessibility and utility.
  • The database supports researchers in understanding genotype-phenotype correlations.

Conclusions:

  • SiMPLOD enhances the interpretation of PLOD gene mutations and associated disorders.
  • The database democratizes access to structural insights for a wider scientific audience.
  • SiMPLOD serves as a valuable resource for research into collagen-related connective tissue diseases.

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