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Related Concept Videos

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.
A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to form...
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 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-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-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...
Conservation of Protein Domains02:26

Conservation of Protein Domains

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.
A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to form...

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A Protocol for Computer-Based Protein Structure and Function Prediction
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Published on: November 3, 2011

Advances in Protein Function Prediction from the Fifth CAFA Challenge.

M Clara De Paolis Kaluza, Rashika Ramola, Parnal Joshi

  • 1Khoury College of Computer Sciences, Northeastern University, Boston, MA, USA.

Biorxiv : the Preprint Server for Biology
|May 7, 2026
PubMed
Summary
This summary is machine-generated.

The Critical Assessment of Functional Annotation (CAFA) challenge shows improved protein function prediction accuracy. New methods better leverage existing data for future discoveries, driven by AI and expanded biological data.

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Area of Science:

  • Computational Biology
  • Bioinformatics
  • Machine Learning in Biology

Background:

  • The Critical Assessment of Functional Annotation (CAFA) is a key initiative for evaluating protein function prediction tools.
  • CAFA's fifth round (CAFA5) engaged a broad community via Kaggle, fostering innovation in computational biology.
  • Protein function prediction remains crucial for understanding biological systems and disease.

Purpose of the Study:

  • To analyze CAFA5 submissions and assess advancements in computational protein function prediction.
  • To introduce and evaluate a novel framework for proteins with existing, incomplete annotations.
  • To identify factors driving performance improvements in the field.

Main Methods:

  • Analysis of predictions submitted to the CAFA5 challenge.
  • Development and application of a new evaluation setting for proteins with partial annotations.
  • Examination of performance metrics across unpublished annotations and database updates.

Main Results:

  • Significant improvements in prediction accuracy compared to previous CAFA challenges.
  • Identification of a need for methods that effectively utilize existing annotations for future predictions.
  • Demonstrated impact of protein language models, 3D structure predictions, and biocuration growth on performance.

Conclusions:

  • Recent advancements in AI and data availability have substantially enhanced protein function prediction.
  • The CAFA framework continues to be vital for driving progress and identifying research frontiers.
  • Future prediction methods should focus on integrating existing knowledge for more robust functional annotation.