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Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web
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Integrating 3D structural information into systems biology.

Diana Murray1, Donald Petrey1, Barry Honig2

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The Journal of Biological Chemistry
|March 21, 2021
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Summary
This summary is machine-generated.

Integrating structural biology with systems biology reveals novel protein relationships. This approach enhances understanding of biological networks, aiding drug design and target identification.

Keywords:
computational biologyhomology modelingprotein structureprotein–protein interactionsystems biology

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Area of Science:

  • Systems biology
  • Structural biology
  • Bioinformatics

Background:

  • Systems biology often overlooks detailed component characterization.
  • Protein Data Bank (PDB) data is underutilized in systems biology.
  • Integrating structural data offers insights beyond sequence similarity.

Purpose of the Study:

  • To review efforts integrating structural biology with systems biology.
  • To highlight the value of structure-based protein relationships.
  • To explore applications in drug discovery and interactome analysis.

Main Methods:

  • Leveraging Protein Data Bank structures via homology modeling.
  • Developing structure-informed genomic and cross-species interactomes.
  • Employing computational strategies for tissue- and tumor-specific interactomes.

Main Results:

  • Structural similarity reveals protein relationships missed by sequence analysis.
  • Structure-informed interactomes provide unique biological insights.
  • Integration strategies enhance understanding of complex biological systems.

Conclusions:

  • Integrating structural and systems biology unlocks new information.
  • This integration is crucial for advancing drug design and target identification.
  • Future efforts will further link protein structure and chemical compound spaces.