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GADP-align: A genetic algorithm and dynamic programming-based method for structural alignment of proteins.

Soraya Mirzaei¹, Jafar Razmara¹, Shahriar Lotfi¹

¹Department of Computer Science, Faculty of Mathematics, Statistics, and Computer Science, University of Tabriz, Tabriz, Iran.

Bioimpacts : BI

|October 11, 2021

Summary

This summary is machine-generated.

This study introduces GADP-align, a hybrid method combining genetic algorithms and dynamic programming for protein structure alignment. It achieves highly accurate alignments, overcoming limitations of traditional dynamic programming methods.

Keywords:

Bioinformatics Dynamic programming Genetic algorithm Protein structure alignment

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Area of Science:

Structural bioinformatics
Computational biology
Biochemistry

Background:

Protein structure similarity analysis is crucial for understanding protein relationships.
Optimal residue correspondence is key for structural alignment, but exhaustive search is computationally intractable.
Existing methods may fall into local optima, limiting alignment accuracy.

Purpose of the Study:

To propose a novel hybrid method, GADP-align, for accurate pairwise protein structure alignment.
To overcome the limitations of traditional dynamic programming approaches in protein structure alignment.
To improve the exploration of global alignments and avoid local optima.

Main Methods:

A hybrid approach combining a genetic algorithm with an iterative dynamic programming technique.
Initial mapping of correspondence between secondary structure elements (SSEs) of two proteins.
Optimization of alignment using the genetic algorithm and dynamic programming.

Main Results:

GADP-align demonstrated high accuracy in aligning 10 'difficult to align' protein pairs.
The hybrid method outperformed methods relying solely on dynamic programming.
The approach successfully avoided local optimal traps common in alignment algorithms.

Conclusions:

The combination of genetic algorithms and dynamic programming yields highly accurate protein structure alignments.
GADP-align effectively explores global alignments, preventing convergence to suboptimal solutions.
This hybrid strategy enhances the reliability of protein structure comparison and relationship inference.