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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-protein Interfaces

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...

Conservation of Protein Domains Over Different Proteins

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...

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Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Published on: July 25, 2013

An improved genetic algorithm for statistical potential function design and protein structure prediction.

Xin Geng¹, Jihong Guan, Qiwen Dong

¹Department of Computer Science and Technology, Tongji University, Shanghai 201804, China. gengxin@tongji.edu.cn

International Journal of Data Mining and Bioinformatics

|June 26, 2012

Summary

This summary is machine-generated.

This study enhances the Genetic Algorithm (GA) for optimizing protein potential functions. The improved GA effectively predicts protein structures by refining energy parameters, demonstrating its efficiency in computational biology.

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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

Area of Science:

Computational biology
Biophysics
Bioinformatics

Background:

Protein structure prediction remains a significant challenge in computational biology.
The native state of a protein is typically its minimum energy conformation.
Potential functions are crucial for modeling protein energy landscapes.

Purpose of the Study:

To optimize parameters for protein potential functions.
To improve the accuracy and efficiency of protein structure prediction.
To enhance the basic Genetic Algorithm (GA) for these tasks.

Main Methods:

Developed several strategies to improve the basic Genetic Algorithm (GA).
Employed the improved GA for statistical potential function design.
Utilized the enhanced algorithm for protein structure prediction.

Main Results:

The improved GA demonstrated effectiveness in optimizing potential function parameters.
The algorithm showed efficiency in predicting protein structures.
Experimental results validated the proposed method's performance.

Conclusions:

The enhanced Genetic Algorithm is a powerful tool for protein potential function design.
The developed method offers an effective and efficient approach to protein structure prediction.
This work contributes to advancing computational biology techniques.