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Protein Networks02:26

Protein Networks

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An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
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Related Experiment Video

Updated: Jul 10, 2025

The Use of a &#946;-lactamase-based Conductimetric Biosensor Assay to Detect Biomolecular Interactions
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The Use of a β-lactamase-based Conductimetric Biosensor Assay to Detect Biomolecular Interactions

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Exploring complexity of class-A Beta-lactamase family using physiochemical-based multiplex networks.

Pradeep Bhadola1, Nivedita Deo2

  • 1Centre for Theoretical Physics & Natural Philosophy, Mahidol University, Nakhonsawan Campus, Phayuha Khiri, NakhonSawan, 60130, Thailand. pradeep.bha@mahidol.ac.th.

Scientific Reports
|November 23, 2023
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Summary

This study uses network analysis of protein sequences to reveal evolutionary constraints in Beta-lactamase enzymes. Understanding these constraints helps identify key properties for antibiotic resistance and potential drug targets.

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Area of Science:

  • Biochemistry
  • Computational Biology
  • Protein Science

Background:

  • Beta-lactamase enzymes are crucial in antibiotic resistance, conferring protection against beta-lactam antibiotics.
  • Understanding the evolutionary and functional constraints of the Beta-lactamase protein family is essential for developing new antimicrobial strategies.

Purpose of the Study:

  • To explore the Beta-lactamase protein family using a novel multiplex network approach based on amino acid physiochemical properties.
  • To identify key motifs, evolutionary links, and hierarchical property influences within the Beta-lactamase family.

Main Methods:

  • A multiplex network representation of Beta-lactamase multiple sequence alignment was employed.
  • Network layers were derived from physiochemical properties (polarity, hydrophobicity, polarizability, volume) of amino acids.
  • Node multi-degree analysis was used to assess hierarchical property influence.

Main Results:

  • Identified aggregation of nodes with similar property signs, indicating functional and evolutionary constraints.
  • Observed distinct distributions of evolutionary links across layers, with polarity dominant at low thresholds and hydrophobicity at high thresholds.
  • Discovered simultaneous connections for polarizability-volume combinations and exclusive shared links for hydrophobicity-polarizability-volume, suggesting significant evolutionary impacts.

Conclusions:

  • The multiplex network approach effectively reveals intricate interactions and constraints within the Beta-lactamase family.
  • Key properties influencing Beta-lactamase functionality were identified, offering insights for potential drug target development.
  • This study provides a foundation for understanding protein evolution and designing novel enzyme modulators.