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Related Concept Videos

Protein-protein Interfaces02:04

Protein-protein Interfaces

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 polypeptide...
Protein Families02:47

Protein Families

Protein families are groups of homologous proteins; that is, they have similarities in amino acid sequences and three-dimensional structures. Protein families usually occur because of gene duplication, where an additional copy of a gene is inserted into the genome of an organism.   Mutations that change the amino acids but still allow the protein to be properly synthesized, will lead to new protein family members.   If these new proteins contain similar amino acids in key locations, protein...
Protein Networks02:26

Protein Networks

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,...
Conservation of Protein Domains Over Different Proteins02:26

Conservation of Protein Domains Over Different Proteins

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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Conserved Binding Sites01:49

Conserved Binding Sites

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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Protein Folding Quality Check in the RER01:29

Protein Folding Quality Check in the RER

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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A Protocol for Computer-Based Protein Structure and Function Prediction
16:41

A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

A large-scale evaluation of computational protein function prediction.

Predrag Radivojac1, Wyatt T Clark, Tal Ronnen Oron

  • 1School of Informatics and Computing, Indiana University, Bloomington, Indiana, USA.

Nature Methods
|January 29, 2013
PubMed
Summary
This summary is machine-generated.

The first Critical Assessment of Function Annotation (CAFA) experiment shows that modern protein function prediction algorithms significantly outperform older methods. While top tools can guide research, further improvements are needed for computational protein annotation.

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Computational Prediction of Amino Acid Preferences of Potentially Multispecific Peptide-Binding Domains Involved in Protein-Protein Interactions
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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Automated protein function annotation is essential due to the rapid growth of sequenced genomes.
  • The accuracy of computational predictions is critical for reliable biological research.
  • Existing methods for protein function prediction vary in performance.

Purpose of the Study:

  • To conduct the first large-scale, community-based critical assessment of protein function annotation (CAFA).
  • To evaluate the performance of state-of-the-art computational methods for predicting protein function.
  • To identify areas for improvement in protein function prediction tools.

Main Methods:

  • Evaluated 54 different protein function prediction methods.
  • Used a target set of 866 proteins from 11 diverse organisms.
  • Assessed method performance based on accuracy and reliability.

Main Results:

  • Modern protein function prediction algorithms significantly outperform first-generation methods.
  • Top-performing methods demonstrated substantial gains across various protein targets.
  • The best algorithms are sufficiently accurate to inform experimental design.

Conclusions:

  • Current computational tools for protein function annotation show marked improvement.
  • Despite advancements, there remains a significant need to enhance the accuracy and scope of prediction tools.
  • The CAFA experiment provides a benchmark for future development in protein function prediction.