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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...

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 Networks

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...

Protein Networks

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...

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.

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Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web

Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web

Published on: July 16, 2017

A 3D graphical representation of protein sequences based on the Gray code.

Ping-an He¹, Dan Li, Yanping Zhang

¹College of Science, Zhejiang Sci-Tech University, Hangzhou 310018, PR China. pinganhe@zstu.edu.cn

Journal of Theoretical Biology

|May 5, 2012

Summary

This summary is machine-generated.

A novel cyclic order for 20 amino acids and 3D graphical representation aids in analyzing protein sequence similarities. This method offers a new tool for bioinformatics and evolutionary studies.

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An Integrated Approach for Microprotein Identification and Sequence Analysis

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

Area of Science:

Bioinformatics
Computational Biology
Sequence Analysis

Background:

Analyzing protein sequences is crucial for understanding biological functions and evolutionary relationships.
Existing methods for sequence comparison can be computationally intensive and may benefit from novel visualization techniques.

Purpose of the Study:

To introduce a new 3D graphical representation for protein sequences based on a cyclic amino acid order.
To develop a mathematical descriptor for characterizing these graphical representations.
To evaluate the utility of this approach in comparing sequence similarities and dissimilarities.

Main Methods:

A cyclic order of 20 amino acids was established using 6-bit binary Gray code.
A 3D graphical representation was generated for protein sequences, analogous to DNA's Chaos Game Representation (CGR).
Mathematical descriptors were derived from the graphical curves.
Sequence similarity comparisons were performed on ND5 proteins from nine species, validated against ClustalW results.

Main Results:

The proposed 3D graphical method provides a novel way to visualize and compare protein sequences.
Mathematical descriptors effectively characterize the graphical representations.
Comparisons with ClustalW demonstrated the utility and accuracy of the approach in identifying sequence similarities and dissimilarities.

Conclusions:

The novel 3D graphical representation and mathematical descriptors offer a valuable tool for protein sequence analysis.
This method enhances the understanding of evolutionary relationships and sequence variations.
The approach shows promise for applications in bioinformatics and comparative genomics.