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Related Concept Videos

Protein Kinases and Phosphatases02:54

Protein Kinases and Phosphatases

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Proteins undergo chemical modifications that trigger changes in the charge, structure, and conformation of the proteins. Phosphorylation, acetylation, glycosylation, nitrosylation, ubiquitination, lipidation, methylation, and proteolysis are various protein modifications that regulate protein activity. Such modifications are usually enzyme-driven.
Protein kinases
Many proteins in the cell are regulated by phosphorylation, the addition of a phosphate group. A family of enzymes called kinases...
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Protein Kinases and Phosphatases02:54

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Phosphorylation01:02

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The addition or removal of phosphate groups from proteins is the most common chemical modification that regulates cellular processes. These modifications can affect the structure, activity, stability, and localization of proteins within cells as well as their interactions with other proteins.
During phosphorylation, protein kinases transfer the terminal phosphate group of ATP to specific amino acid side chains of substrate proteins. Serine, threonine, and tyrosine are the most commonly...
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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.
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Protein Networks02:26

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Identification of Cyclin-dependent Kinase 1 Specific Phosphorylation Sites by an In Vitro Kinase Assay
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Computational phosphorylation network reconstruction: methods and resources.

Guangyou Duan1, Dirk Walther

  • 1Max Planck Institute for Molecular Plant Physiology, Am Mühlenberg 1, Potsdam-Golm, 14476, Germany, duan@embl.de.

Methods in Molecular Biology (Clifton, N.J.)
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Summary
This summary is machine-generated.

This study surveys computational methods for reconstructing protein phosphorylation networks, essential for understanding cellular information transfer. It reviews various statistical learning approaches used with diverse molecular data.

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Area of Science:

  • Molecular Biology
  • Systems Biology
  • Bioinformatics

Background:

  • Protein phosphorylation/dephosphorylation is crucial for cellular information transfer.
  • Understanding these molecular cascades and networks is a major research goal.
  • Numerous computational methods exist to infer biological networks.

Purpose of the Study:

  • To survey computational network inference methods for biological networks.
  • To focus on methods for reconstructing phosphorylation networks.
  • To review resources for biological network reconstruction.

Main Methods:

  • Review of statistical learning methods for network inference.
  • Analysis of methods using protein sequence, structure, and phosphoproteomics data.
  • Survey of existing computational resources for network reconstruction.

Main Results:

  • Identified diverse computational approaches for inferring phosphorylation networks.
  • Highlighted the utility of various data types in network reconstruction.
  • Cataloged resources available for biological network analysis.

Conclusions:

  • Computational methods are vital for deciphering complex phosphorylation networks.
  • The choice of method and data impacts network inference accuracy.
  • Further development and integration of resources are needed for comprehensive network understanding.