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Related Concept Videos

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,...
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.
A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to form...
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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...

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Related Experiment Video

Updated: Jul 4, 2026

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
07:08

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

Does protein relatedness require sequence matching? Alignment via networks in sequence space.

Zakharia M Frenkel1

  • 1Genome Diversity Center, Institute of Evolution, University of Haifa, Haifa 31905, Israel. zakharf@research.haifa.ac.il

Journal of Biomolecular Structure & Dynamics
|July 4, 2008
PubMed
Summary

Discovering protein function is challenging with marginal sequence similarity. A novel network approach in protein sequence space firmly establishes function through linked matching fragments, connecting even distant relatives.

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Related Experiment Videos

Last Updated: Jul 4, 2026

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
07:08

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

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

Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group
07:49

Creating and Applying a Reference to Facilitate the Discussion and Classification of Proteins in a Diverse Group

Published on: August 16, 2017

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Protein Science

Background:

  • Determining novel protein function often relies on sequence alignment.
  • Marginal sequence similarity presents challenges in functional prediction.
  • Existing methods struggle with identifying functions of distantly related proteins.

Purpose of the Study:

  • To introduce a novel network-based approach for protein function prediction.
  • To overcome limitations of traditional sequence alignment for marginal similarities.
  • To establish a robust method for identifying functions of newly discovered proteins.

Main Methods:

  • Utilizing a network approach within the protein sequence space.
  • Identifying functional and structural networks through chains of matching fragments.
  • Analyzing consecutive pair-wise matching fragments to infer protein relationships.

Main Results:

  • The network approach successfully establishes protein functionality even with marginal sequence similarity.
  • Chains of matching fragments form networks that link proteins.
  • Distant protein relatives are identified as related through shared network membership, irrespective of direct sequence matches.

Conclusions:

  • Protein sequence network analysis offers a powerful alternative to traditional alignment methods.
  • This approach enhances the ability to predict functions for uncharacterized proteins.
  • The network perspective broadens the understanding of protein relationships and functional conservation.