Zebra3D

Zebra3D analyzes subfamily-specific regions (SSRs) within three-dimensional protein structures to identify local structural determinants of functional diversity and conformational plasticity in protein superfamilies.


Key Features:

  • 3D-Alignment Analysis: Applies machine learning to systematically analyze 3D-alignments of homologous proteins and detect patterns of local 3D structures such as single residues, loops, or secondary structure fragments.
  • Identification of Subfamily-Specific Regions (SSRs): Identifies SSRs that vary spatially among subfamilies while remaining equivalent within them.
  • Subfamily Classification: Classifies proteins into subfamilies based on detected local 3D structural variations.
  • Statistical Prioritization: Implements statistical methods to prioritize functionally significant 3D variability and distinguish meaningful structural divergences from random fluctuations.
  • Integration with Mustguseal: Integrates with the Mustguseal web-server to automate construction of 3D-alignments of functionally diverse proteins from a single PDB code.

Scientific Applications:

  • Catalytic Activity and Ligand Binding: Analyzes 3D determinants of catalytic activity and ligand accommodation to inform studies of enzymatic function.
  • Directed Evolution and Chimeric Enzymes: Supports preparation of focused libraries for directed evolution and informs exchange of equivalent regions between homologs for chimeric enzyme design.
  • Binding Site Characterization: Characterizes plasticity in binding sites to assess variability in protein–ligand interactions.
  • Structural Biology, Enzymology, and Drug Discovery: Provides structural insights applicable to protein design and drug discovery efforts.

Methodology:

Machine learning analysis of 3D-alignments to identify SSRs (single residues, loops, secondary structure fragments), classification of proteins into subfamilies, and statistical methods to prioritize functionally significant 3D variability; integration with Mustguseal for automated 3D-alignment construction from a PDB code.

Topics

Details

License:
GPL-3.0
Tool Type:
command-line tool
Programming Languages:
Python
Added:
1/3/2022
Last Updated:
1/3/2022

Operations

Publications

Timonina D, Sharapova Y, Švedas V, Suplatov D. Bioinformatic analysis of subfamily-specific regions in 3D-structures of homologs to study functional diversity and conformational plasticity in protein superfamilies. Computational and Structural Biotechnology Journal. 2021;19:1302-1311. doi:10.1016/j.csbj.2021.02.005. PMID:33738079. PMCID:PMC7933735.

PMID: 33738079
PMCID: PMC7933735
Funding: - Russian Foundation for Basic Research: 18-29-13060

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