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Related Concept Videos

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.
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ER is the primary site for the maturation and folding of soluble and transmembrane secretory proteins. The calnexin cycle is a specific chaperone system that folds and assesses the confirmation of N-glycosylated proteins before they can exit the ER lumen. The primary players of this quality check pipeline are the lectins, ER-resident chaperones, and a glucosyl transferase enzyme. In case the calnexin system in the lumen fails to salvage a misfolded protein, it is transported to the cytoplasm...
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Protein domains are small structurally independent units that are part of a single amino acid chain.  Although these domains are often structurally independent, they may rely on synergistic effects to perform their functions as part of a larger protein. Protein domains may be conserved within the same organism, as well as across different organisms.
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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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Proteins are involved in several cellular processes and biochemical reactions. Analyzing a specific protein of interest requires it to be isolated from the other proteins in the cell. This is achieved by overexpressing the specific gene in a suitable host to produce large quantities of the target protein. A tag or label is recombined with the gene to produce a fusion protein containing the target protein and the tag. The tags on these fusion proteins can then be used for easy detection and...
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BagReg: Protein inference through machine learning.

Can Zhao1, Dao Liu2, Ben Teng1

  • 1School of Software, Dalian University of Technology, Dalian, China.

Computational Biology and Chemistry
|February 25, 2015
PubMed
Summary
This summary is machine-generated.

We introduce BagReg, a novel machine learning method for protein inference in shotgun proteomics. BagReg improves accuracy by aggregating predictions from multiple models, outperforming existing algorithms.

Keywords:
Machine learningProtein identificationProtein inferenceShotgun proteomics

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Area of Science:

  • Computational Biology
  • Proteomics
  • Bioinformatics

Background:

  • Protein inference is crucial for identifying proteins in shotgun proteomics.
  • Current computational methods often fail to fully leverage input data information.
  • Accurate protein identification is essential for understanding biological samples.

Purpose of the Study:

  • To develop an advanced computational method for protein inference.
  • To improve the utilization of information within proteomics data.
  • To enhance the accuracy of identifying true protein presence in samples.

Main Methods:

  • Proposed a learning-based method named BagReg for protein inference.
  • Artificially extracted five distinct features from the input data.
  • Built separate prediction models for each feature and aggregated their results.

Main Results:

  • BagReg demonstrated superior performance compared to state-of-the-art algorithms.
  • The method was validated on six publicly available datasets.
  • Aggregating weak predictions from multiple models yielded a robust final result.

Conclusions:

  • The proposed BagReg method offers a significant advancement in protein inference.
  • This approach effectively utilizes hidden information in proteomics data.
  • BagReg provides a more accurate and reliable solution for protein identification.