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Protein Organization

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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.
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Updated: Apr 19, 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

Protein structure prediction with local adjust tabu search algorithm.

Xiaoli Lin, Xiaolong Zhang, Fengli Zhou

BMC Bioinformatics

|December 5, 2014

Summary

This summary is machine-generated.

This study optimizes protein folding prediction using a hybrid algorithm (SATS) on simplified AB off-lattice models. The novel approach efficiently finds lower energy configurations, improving upon previous methods for protein structure prediction.

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Published on: January 26, 2024

Area of Science:

Bioinformatics
Computational Biology
Structural Biology

Background:

Protein folding structure prediction is a complex bioinformatics challenge.
Simplified models like the AB off-lattice model are used to study protein structures.
The AB model classifies amino acids as hydrophobic (A) or hydrophilic (B).

Purpose of the Study:

To optimize lowest energy configurations in 2D and 3D AB off-lattice models.
To apply Fibonacci and real protein sequences for structure prediction.
To introduce a novel hybrid algorithm for efficient protein structure prediction.

Main Methods:

Utilized a hybrid Simulated Annealing and Tabu Search algorithm (SATS).
Implemented strategies including new encoding, adaptive neighborhood generation, and local adjustment.
Applied the method to 2D and 3D off-lattice models with Fibonacci and real protein sequences.

Main Results:

The improved SATS algorithm achieved better results than previous methods.
Successfully identified lowest energy folding states for short Fibonacci sequences.
Demonstrated high-speed searching for optimal protein conformations.

Conclusions:

3D off-lattice models better represent realistic protein folding than 2D models.
The proposed hybrid algorithm is effective and fast for searching protein spatial folding structures.
Simplified models, though not fully realistic, capture key protein characteristics.