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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 Organization

Protein Organization

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...

Protein Folding

Protein Folding

Protein Folding

Protein Folding

Proteins are chains of amino acids linked together by peptide bonds. Upon synthesis, a protein folds into a three-dimensional conformation, critical to its biological function. Interactions between its constituent amino acids guide protein folding, and hence the protein structure is primarily dependent on its amino acid sequence.
Protein Structure Is Critical to Its Biological Function
Proteins perform a wide range of biological functions such as catalyzing chemical reactions, providing...

Protein Families

Protein Families

Protein families are groups of homologous proteins; that is, they have similarities in amino acid sequences and three-dimensional structures. Protein families usually occur because of gene duplication, where an additional copy of a gene is inserted into the genome of an organism. Mutations that change the amino acids but still allow the protein to be properly synthesized, will lead to new protein family members. If these new proteins contain similar amino acids in key...

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Related Experiment Video

Updated: Dec 30, 2025

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins

Published on: July 8, 2025

Protein function from sequence and structure data.

Francisco S Domingues¹, Thomas Lengauer

¹Max-Planck-Institut für Informatik, Saarbrücken, Germany. doming@mpi-sb.mpg.de

Applied Bioinformatics

|May 8, 2004

Summary

This summary is machine-generated.

Computational methods analyzing genomics and proteomics data accelerate protein function discovery. These approaches utilize protein sequence and structure to reveal hidden functional signals, speeding up research.

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Last Updated: Dec 30, 2025

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins

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Published on: July 8, 2025

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

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Published on: July 16, 2017

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:

Bioinformatics
Computational Biology
Proteomics

Background:

Increasing volumes of genomics and proteomics data necessitate advanced computational tools.
Identifying protein function from biological data is challenging due to concealed signals.
Protein sequence and structure data hold valuable information for function elucidation.

Purpose of the Study:

To review computational methods for protein function elucidation.
To highlight the role of sequence and structure data in discovering functional signals.
To demonstrate how computational approaches can expedite experimental research.

Main Methods:

Review of computational techniques leveraging protein sequence data.
Analysis of methods utilizing protein structure data.
Integration of diverse biological data signals for function prediction.

Main Results:

Computational methods effectively identify hidden signals of protein function.
Sequence and structure analysis significantly aids in understanding protein roles.
These computational strategies accelerate the experimental elucidation of protein functions.

Conclusions:

Computational methods are essential for interpreting large-scale biological data.
Utilizing protein sequence and structure is key to uncovering functional insights.
Advanced computational approaches substantially reduce the time and resources needed for protein function discovery.