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Related Concept Videos

Protein and Protein Structure02:15

Protein and Protein Structure

Proteins are one of the most abundant organic molecules in living systems and have the most diverse range of functions of all macromolecules. Proteins may be structural, regulatory, contractile, or protective. They may serve in transport, storage, or membranes; or they may be toxins or enzymes. Their structures, like their functions, vary greatly. They are all, however, amino acid polymers arranged in a linear sequence.
A protein's shape is critical to its function. For example, an enzyme can...
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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Antibody Structure and Classes01:25

Antibody Structure and Classes

Antibodies, also known as immunoglobulins, are produced by B cells in response to foreign substances, such as bacteria and viruses. These proteins are critical for recognizing and neutralizing these substances, protecting the body from potential harm.
The basic structure of an antibody consists of four protein chains: two identical heavy chains and two identical light chains. These chains are held together by disulfide bonds and other non-covalent interactions, forming a Y-shaped structure.
Protein and Protein Structures02:15

Protein and Protein Structures

Proteins are one of the most abundant organic molecules in living systems and have the most diverse range of functions of all macromolecules. Proteins may be structural, regulatory, contractile, or protective. They may serve in transport, storage, or membranes; or they may be toxins or enzymes. Their structures, like their functions, vary greatly. They are all, however, amino acid polymers arranged in a linear sequence.
A protein's shape is critical to its function. For example, an enzyme can...
Structural Protein Function01:56

Structural Protein Function

Structural proteins are a category of proteins responsible for functions ranging from cell shape and movement to providing support to major structures such as bones, cartilage, hair, and muscles. This group includes proteins such as collagen, actin, myosin, and keratin.
Collagen, the most abundant protein in mammals, is found throughout the body. In connective tissue, such as skin, ligaments, and tendons, it provides tensile strength and elasticity.  In bones and teeth, it mineralizes to form...
Structural Protein Function01:56

Structural Protein Function

Structural proteins are a category of proteins responsible for functions ranging from cell shape and movement to providing support to major structures such as bones, cartilage, hair, and muscles. This group includes proteins such as collagen, actin, myosin, and keratin.
Collagen, the most abundant protein in mammals, is found throughout the body. In connective tissue, such as skin, ligaments, and tendons, it provides tensile strength and elasticity.  In bones and teeth, it mineralizes to form...

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Updated: May 21, 2026

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

StruLocPred: structure-based protein subcellular localisation prediction using multi-class support vector machine.

Wengang Zhou1, Julie A Dickerson

  • 1Bioinformatics and Computational Biology Program, Electrical and Computer Engineering Department, Virtual Reality Applications Center, Iowa State University, Ames, IA 50011, USA. wgzhou@iastate.edu

International Journal of Data Mining and Bioinformatics
|June 26, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces novel features for predicting protein subcellular locations, enhancing biological function understanding. The developed system achieves high accuracy, outperforming existing methods for protein localization prediction.

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

Published on: January 26, 2024

Related Experiment Videos

Last Updated: May 21, 2026

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

Computational Prediction of Amino Acid Preferences of Potentially Multispecific Peptide-Binding Domains Involved in Protein-Protein Interactions
06:50

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

Published on: January 26, 2024

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Proteomics

Background:

  • Protein subcellular localization is crucial for understanding protein function.
  • Accurate prediction of protein locations is a key challenge in bioinformatics.

Purpose of the Study:

  • To develop a novel computational method for predicting protein subcellular locations.
  • To improve the accuracy of protein localization prediction using sequence and structure-based features.

Main Methods:

  • Proposed novel sequence-based features: Hybrid Amino Acid Pair (HAAP).
  • Introduced structure-based features: Secondary Structural Element Composition (SSEC) and solvent accessibility state frequency.
  • Developed a multi-class Support Vector Machine (SVM) classifier for predicting protein locations.

Main Results:

  • Achieved higher prediction accuracies on two established datasets compared to existing state-of-the-art systems.
  • Demonstrated comparable performance to ESLPred2.
  • Successfully applied the StruLocPred system to the Arabidopsis proteome, with over 77% of proteins matching known locations.

Conclusions:

  • The proposed features and SVM model significantly enhance protein subcellular localization prediction accuracy.
  • The StruLocPred system provides a valuable tool for proteome-wide analysis.
  • This work contributes to a better understanding of protein functions through accurate localization prediction.