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Related Concept Videos

Protein-protein Interfaces02:04

Protein-protein Interfaces

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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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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.
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Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
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Nuclear protein sorting is the selective trafficking of histones, polymerases, gene regulatory proteins into the nucleus and exporting RNAs and ribosomes to the cytosol. It is a tightly controlled process that regulates gene expression within a cell.
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Related Experiment Video

Updated: Dec 30, 2025

Enriching Subcellular Proteins in Leptospira Using a Triton X-114-Based Fractionation Approach
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Predicting subcellular localization of proteins using protein-protein interaction data.

Hita Sony Garapati1, Gurranna Male1, Krishnaveni Mishra1

  • 1Department of Biochemistry, School of Life Sciences, University of Hyderabad, Hyderabad 500046, India.

Genomics
|January 17, 2020
PubMed
Summary

Predicting protein subcellular localization is crucial for understanding protein function. This study introduces a new script utilizing protein interaction data to accurately predict yeast protein localization, with experimental validation confirming its efficacy.

Keywords:
PPIPerl scriptProtein-protein interactionSaccharomyces cerevisiaeSubcellular localization

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Area of Science:

  • Molecular Biology
  • Bioinformatics
  • Computational Biology

Background:

  • Determining protein subcellular localization is essential for elucidating protein function.
  • Traditional methods for protein localization are insufficient for the rapid pace of new data generation.
  • Many proteins with available sequence data lack known localization and function.

Purpose of the Study:

  • To develop a computational method for predicting protein subcellular localization.
  • To leverage physical protein-protein interaction data for localization prediction.
  • To address the challenge of unknown protein localization in large datasets.

Main Methods:

  • Developed a script that uses physical interactors and their known localization data.
  • Applied the script to predict the subcellular localization of yeast proteins.
  • Experimentally verified the predicted localization for a subset of proteins.

Main Results:

  • Successfully predicted the subcellular localization for yeast proteins lacking prior data.
  • Experimental verification confirmed the accuracy of the predictions for 5 out of 6 tested proteins.
  • The developed script demonstrates a high success rate in predicting protein localization.

Conclusions:

  • The developed script offers an effective computational approach for predicting protein subcellular localization.
  • Utilizing protein interaction networks is a viable strategy to infer protein function and location.
  • This method aids in annotating proteomes and advancing our understanding of cellular organization.