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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 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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Protein Folding

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Predicting Molecular Geometry

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Protein and Protein Structures

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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...

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Related Experiment Video

Updated: Aug 22, 2025

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

Protein structure prediction in the deep learning era.

Zhenling Peng¹, Wenkai Wang², Renmin Han¹

¹Ministry of Education Frontiers Science Center for Nonlinear Expectations, Research Center for Mathematics and Interdisciplinary Sciences, Shandong University, Qingdao 266237, China.

Current Opinion in Structural Biology

|November 13, 2022

Summary

This summary is machine-generated.

Deep learning has advanced protein structure prediction, with AlphaFold2 and RoseTTAFold leading the way. A two-step approach offers comparable accuracy to end-to-end methods like AlphaFold2 but uses fewer computational resources.

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Area of Science:

Computational Biology
Structural Biology
Bioinformatics

Background:

Recent years have seen significant progress in protein structure prediction.
Deep learning models like AlphaFold2 and RoseTTAFold have revolutionized the field.

Purpose of the Study:

To review deep learning-based protein structure prediction methods developed in the last two years.
To compare the effectiveness and resource requirements of different deep learning approaches.

Main Methods:

Categorization of representative methods into two-step and end-to-end approaches.
Comparative analysis of accuracy and computational resource needs between the two categories.

Main Results:

The two-step approach can achieve accuracy comparable to state-of-the-art end-to-end methods such as AlphaFold2.
The two-step approach requires fewer computing resources than end-to-end methods.

Conclusions:

Continued development of both two-step and end-to-end deep learning approaches for protein structure prediction is valuable.
Future research should address challenges in function-oriented protein structure prediction.