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Related Concept Videos

Protein Organization01:24

Protein Organization

Proteins are polymers of amino acid residues. They are versatile and responsible for different cellular functions, including DNA replication, molecular transport, catalysis, and structural support. Proteins have a hierarchical structure comprising at least three levels of organization: primary, secondary, and tertiary structure. Some large proteins have a quaternary structure where individual protein subunits are linked together.
The primary structure of a protein is its amino acid sequence.
Protein Organization01:13

Protein Organization

Overview
Protein Organization01:24

Protein Organization

Proteins are polymers of amino acid residues. They are versatile and responsible for different cellular functions, including DNA replication, molecular transport, catalysis, and structural support. Proteins have a hierarchical structure comprising at least three levels of organization: primary, secondary, and tertiary structure. Some large proteins have a quaternary structure where individual protein subunits are linked together.
The primary structure of a protein is its amino acid sequence.
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...
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...

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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

KB-Rank: efficient protein structure and functional annotation identification via text query.

Elchin S Julfayev1, Ryan J McLaughlin, Yi-Ping Tao

  • 1Department of Basic Science, The Commonwealth Medical College, Scranton, PA 18509, USA.

Journal of Structural and Functional Genomics
|January 25, 2012
PubMed
Summary

The KB-Rank tool helps identify protein structures and their functions using text queries. It ranks results by relevance, aiding researchers in quickly finding important protein information.

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Last Updated: May 25, 2026

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09:51

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Area of Science:

  • Bioinformatics
  • Structural Biology
  • Computational Biology

Background:

  • Determining protein function is crucial for biological research.
  • Existing methods for retrieving and ranking protein structures by functional relevance can be inefficient.
  • There is a need for tools that integrate protein structure data with functional annotations for targeted retrieval.

Purpose of the Study:

  • To introduce KB-Rank, a novel tool for determining protein functions.
  • To provide a method for ranking protein structures and their functional annotations based on user text queries.
  • To facilitate the rapid identification of relevant protein structures and associated annotations.

Main Methods:

  • The KB-Rank tool utilizes a text-matching algorithm to retrieve protein structures based on user queries.
  • It ranks retrieved structures by analyzing the prevalence of functional annotations across the dataset.
  • An interactive web interface allows users to navigate and interpret search results.

Main Results:

  • KB-Rank successfully retrieves protein structures and associated functional annotations relevant to text queries.
  • The ranking algorithm effectively prioritizes structures based on query relevance and annotation content.
  • The interactive interface enhances the usability and interpretability of the search outcomes.

Conclusions:

  • KB-Rank provides an efficient and effective solution for identifying protein structures and their relevant functional annotations.
  • The tool aids researchers in quickly accessing and understanding protein information pertinent to their specific queries.
  • KB-Rank demonstrates utility in informational and navigational searches, particularly for disease-related topics.