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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...
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...
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.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally analyses the...
Tagging and Fusion Proteins01:24

Tagging and Fusion Proteins

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...
Protein Complexes with Interchangeable Parts01:57

Protein Complexes with Interchangeable Parts

Groups of proteins may form a complex where each protein in this complex has a different role in the overall execution of the complex’s function. Often some of the proteins in the complex can be replaced by a closely related variant to give a complex that contains many of the same components yet is functionally distinct.
The SCF ubiquitin ligase is a protein complex of five individual proteins. This complex attaches ubiquitin to other target proteins to mark them for degradation. In order to...
Protein Complexes with Interchangeable Parts01:57

Protein Complexes with Interchangeable Parts

Groups of proteins may form a complex where each protein in this complex has a different role in the overall execution of the complex’s function. Often some of the proteins in the complex can be replaced by a closely related variant to give a complex that contains many of the same components yet is functionally distinct.
The SCF ubiquitin ligase is a protein complex of five individual proteins. This complex attaches ubiquitin to other target proteins to mark them for degradation. In order to...

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An Integrated Approach for Microprotein Identification and Sequence Analysis
09:37

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

Using context to improve protein domain identification.

Alejandro Ochoa1, Manuel Llinás, Mona Singh

  • 1Department of Molecular Biology, Princeton University, Princeton, NJ, USA.

BMC Bioinformatics
|April 2, 2011
PubMed
Summary

This study introduces a new method, Domain Prediction Using Context (dPUC), to improve protein domain prediction by considering domain co-occurrence. The approach enhances annotations, particularly for poorly studied organisms like Plasmodium falciparum.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Protein domain identification is crucial for structural and functional annotation.
  • Current methods often predict domains independently, overlooking crucial co-occurrence information in multidomain proteins.
  • Pairwise domain co-occurrences are specific and non-transitive, presenting a challenge for traditional methods.

Purpose of the Study:

  • To develop a novel computational framework that leverages domain co-occurrence patterns to improve protein domain prediction accuracy.
  • To enhance the annotation of poorly understood genomes by integrating contextual information between protein domains.
  • To identify conserved eukaryotic proteins and their functions in organisms with limited existing annotations.

Main Methods:

  • Developed Domain Prediction Using Context (dPUC), a framework incorporating pairwise "context" scores between domains.
  • Integrated traditional domain scores and thresholds with the novel context scores.
  • Applied the dPUC framework across diverse organisms, including bacteria, protozoa, and metazoa.

Main Results:

  • dPUC effectively boosts weak domain predictions based on observed co-occurrence patterns.
  • The method improves domain prediction accuracy across various species.
  • Significantly enhanced annotations for Plasmodium falciparum, identifying conserved eukaryotic proteins involved in ribosomal assembly and RNA processing.

Conclusions:

  • The context-based approach offers substantial improvements in protein domain and function prediction, especially for under-annotated genomes.
  • High-confidence annotations were achieved for Plasmodium falciparum, revealing previously unknown conserved protein functions.
  • The dPUC algorithm, source code, and pre-computed results are publicly available for broader research application.