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Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...
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Updated: Apr 10, 2026

Analyzing Dynamic Protein Complexes Assembled On and Released From Biolayer Interferometry Biosensor Using Mass Spectrometry and Electron Microscopy
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Finding optimal interaction interface alignments between biological complexes.

Xuefeng Cui1, Hammad Naveed1, Xin Gao1

  • 1Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia.

Bioinformatics (Oxford, England)
|June 15, 2015
PubMed
Summary
This summary is machine-generated.

A new method, PROSTA-inter, aligns diverse biological interaction interfaces, improving structural similarity detection for proteins, DNA, and RNA. This advances understanding of molecular function and evolution.

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Area of Science:

  • Structural biology
  • Bioinformatics
  • Computational biology

Background:

  • Biological molecule function relies on interactions.
  • Structure alignment of interaction interfaces is crucial for understanding evolutionary history and function.
  • Existing tools struggle to align diverse interface types (protein, DNA, RNA) without preprocessing.

Purpose of the Study:

  • To introduce PROSTA-inter, a novel method for automatic determination and alignment of arbitrary complex structure interfaces.
  • To overcome limitations of existing tools in aligning diverse biomolecular interaction interfaces.

Main Methods:

  • PROSTA-inter uses sequentially remote fragments for optimal superimposition.
  • Formulates residue matching as a maximum weighted bipartite matching problem for sequence order-independent alignment.

Main Results:

  • PROSTA-inter shows significant performance improvement over TM-align and iAlign on protein-DNA complexes.
  • Discovered novel structural similarities between functionally related protein-DNA complexes.
  • Demonstrated effectiveness in identifying protein-RNA mimicry cases.

Conclusions:

  • PROSTA-inter enables accurate alignment of diverse biomolecular interaction interfaces.
  • The method enhances the discovery of structural similarities, aiding functional and evolutionary studies.
  • PROSTA-inter provides a valuable tool for structural bioinformatics research.