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Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group
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Genus for biomolecules.

Paweł Rubach1,2, Sebastian Zajac2, Borys Jastrzebski1

  • 1Centre of New Technologies, University of Warsaw, Banacha 2c, 02-097 Warsaw, Poland.

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|October 5, 2019
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Summary
This summary is machine-generated.

The Genus database provides topological and complexity data for protein and RNA structures from the Protein Data Bank (PDB). It visualizes this data and offers biological function insights, updating automatically with new PDB entries.

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Area of Science:

  • Biochemistry
  • Structural Biology
  • Bioinformatics

Background:

  • Understanding the topological structure and complexity of biomolecules like proteins and RNA is crucial for deciphering their function.
  • Existing databases primarily focus on sequence or static structural information, with less emphasis on topological complexity metrics.

Purpose of the Study:

  • To introduce the 'Genus for biomolecules' database, a novel resource for topological and complexity analysis of protein and RNA chains.
  • To provide a comprehensive platform for visualizing and analyzing biomolecular topology using the concept of 'genus'.

Main Methods:

  • Collected topological data (genus) for all protein and RNA structures available in the Protein Data Bank (PDB).
  • Developed genus trace plots and genus matrix diagrams for visualizing topological information.
  • Integrated statistics and biological function data for analyzed biomolecules.

Main Results:

  • The 'Genus for biomolecules' database now hosts topological information for all PDB-deposited protein and RNA structures.
  • The database offers interactive visualization tools (genus trace plots, genus matrix diagrams).
  • The resource is regularly updated with new PDB entries and allows user-submitted structure analysis.

Conclusions:

  • The 'Genus for biomolecules' database offers a unique perspective on biomolecular structure by quantifying topological complexity.
  • This resource facilitates deeper understanding of structure-function relationships in proteins and RNA.
  • The database serves as a valuable tool for researchers in structural biology and bioinformatics.