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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...

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Conformity is the change in a person’s behavior to go along with the group, even if that person does not agree with the group.

Structural Protein Function

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...

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Updated: Jan 23, 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

Loop Enhanced Conformational Resampling Method for Protein Structure Prediction.

Zhang-Wei Li, Ke Sun, Xiao-Hu Hao

IEEE Transactions on Nanobioscience

|June 11, 2019

Summary

This summary is machine-generated.

This study introduces RSDE, a novel method for protein structure prediction that specifically targets flexible loop regions. RSDE effectively generates accurate, native-like protein models by optimizing loop structures.

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Area of Science:

Computational Biology
Structural Biology
Bioinformatics

Background:

Protein structure prediction is crucial for understanding biological function.
The flexibility of protein loop regions presents a significant challenge in accurate tertiary structure prediction.

Purpose of the Study:

To develop an effective computational method for protein tertiary structure prediction.
To specifically address and improve the modeling of flexible protein loop regions.

Main Methods:

A novel approach, Rama torsion angle and secondary structure feature-guided differential evolution (RSDE), was developed.
RSDE incorporates loop-based crossover and mutation operators, considering torsion angle features.
A stochastic ranking selection strategy and conformational resampling method were employed to enhance sampling efficiency and accuracy.

Main Results:

The proposed RSDE method demonstrates effectiveness in protein structure prediction.
Experiments on 28 test proteins show that RSDE can generate native-like protein models.
The method successfully improves the modeling of protein loop regions.

Conclusions:

RSDE offers a promising advancement in protein structure prediction, particularly for challenging loop regions.
The integration of specific evolutionary strategies and conformational sampling enhances prediction accuracy.
The developed method contributes to more reliable tertiary structure modeling.