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Protein Networks02:26

Protein Networks

4.2K
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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Proteomics01:33

Proteomics

8.7K
A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
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Protein Dynamics in Living Cells01:19

Protein Dynamics in Living Cells

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Different fluorescence-based techniques are used to study the protein dynamics in living cells. These techniques include FRAP, FRET, and PET.
Fluorescent recovery after photobleaching (FRAP) is a fluorescent-protein-based detection technique used to quantify protein movement rates within the cell. This method exposes a small portion of the cell to an intense laser beam. The laser beam causes permanent photobleaching of the fluorophore-tagged proteins in the exposed region. As the bleached...
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Related Experiment Video

Updated: Nov 7, 2025

Native Cell Membrane Nanoparticles System for Membrane Protein-Protein Interaction Analysis
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Native Cell Membrane Nanoparticles System for Membrane Protein-Protein Interaction Analysis

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Detecting Protein Communities in Native Cell Extracts by Machine Learning: A Structural Biologist's Perspective.

Fotis L Kyrilis1,2, Jaydeep Belapure1, Panagiotis L Kastritis1,2,3

  • 1Interdisciplinary Research Center HALOmem, Charles Tanford Protein Center, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.

Frontiers in Molecular Biosciences
|May 3, 2021
PubMed
Summary

Native cell extracts preserve protein communities for high-resolution structural analysis. Machine learning and cryo-electron microscopy (cryo-EM) integration aids in characterizing these complex biological networks.

Keywords:
cellular homogenatesconvolutional neural networkcryo-EMmass spectrometrymetabolonsprotein–protein interactionsrandom foreststructural biology

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Area of Science:

  • Structural biology
  • Proteomics
  • Bioinformatics

Background:

  • Native cell extracts retain complex biomolecular interactions (protein communities) in their near-native state.
  • Studying these communities is challenging due to inherent complexity, especially for structural analysis using cryo-electron microscopy (cryo-EM).

Purpose of the Study:

  • To review recent advancements in detecting protein communities from native cell extracts.
  • To identify challenges and opportunities in characterizing these communities using integrated approaches.

Main Methods:

  • Application of distinct machine learning (ML) approaches to discover protein-protein interactions and reconstruct biological networks.
  • Validation of findings using cross-linking mass spectrometry and cell biology methods.
  • Utilizing cryo-electron microscopy (cryo-EM) for structural analysis of protein communities.

Main Results:

  • ML-inspired image processing workflows can improve distinguishing structural signatures from cryo-EM data.
  • Correlation of proteomic and network data with structural signatures aids in map reconstruction.
  • Progress in ML, cryo-EM, and structural proteomics enables multi-scale molecular descriptions.

Conclusions:

  • Integrating ML, cryo-EM, and structural proteomics is crucial for high-resolution characterization of protein communities in native cell extracts.
  • Further development in these areas promises a comprehensive molecular understanding of cellular organization.