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Protein and Protein Structure

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...

Protein Organization

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 Organization

Protein Organization

Protein Organization

Protein Organization

Protein Organization

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 and Protein Structures

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...

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Related Experiment Video

Updated: Jul 6, 2026

A Protocol for Computer-Based Protein Structure and Function Prediction

A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

Using grey dynamic modeling and pseudo amino acid composition to predict protein structural classes.

Xuan Xiao¹, Wei-Zhong Lin, Kuo-Chen Chou

¹Computer Department, Jing-De-Zhen Ceramic Institute, Jing-De-Zhen 333000, China. xiaoxuan0326@yahoo.com.cn

Journal of Computational Chemistry

|April 3, 2008

Summary

This study introduces grey-PseAA composition, a novel method for protein sequence analysis. This approach enhances the accuracy of predicting protein structural classes and other attributes.

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Area of Science:

Bioinformatics
Computational Biology
Protein Sequence Analysis

Background:

Pseudo amino acid (PseAA) composition captures protein sequence information for classification.
Optimal formulation of PseAA composition remains a challenge.

Purpose of the Study:

Introduce a novel PseAA composition formulation using grey modeling.
Improve prediction accuracy for protein structural and functional classification.

Main Methods:

Applied grey modeling to protein sequences.
Derived four coefficients from each sequence for PseAA components, termed "grey-PseAA" composition.
Utilized grey-PseAA composition for protein structural class prediction.

Main Results:

The grey-PseAA composition effectively captures protein sequence essence and overall patterns.
Demonstrated a significant enhancement in success rates for predicting protein structural class.
The method shows potential for predicting other protein attributes.

Conclusions:

Grey-PseAA composition offers a superior method for representing protein sequences.
This approach significantly improves protein classification accuracy.
The grey-PseAA concept is broadly applicable to various protein attribute predictions.