ArticleAMB Express2017
Genetic algorithm with a crossover elitist preservation mechanism for protein-ligand docking.
Article in AMB Express, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Aerodynamic analysis and ANN-based optimization of NACA airfoils for enhanced UAV performance.Scientific reports · 2025Article
- HIGA: A Running History Information Guided Genetic Algorithm for Protein-Ligand Docking.Molecules (Basel, Switzerland) · 2017Article
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Authors and funding
3 authors.
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Abstract
Protein-ligand docking plays an important role in computer-aided pharmaceutical development. Protein-ligand docking can be defined as a search algorithm with a scoring function, whose aim is to determine the conformation of the ligand and the receptor with the lowest energy. Hence, to improve an efficient algorithm has become a very significant challenge. In this paper, a novel search algorithm based on crossover elitist preservation mechanism (CEP) for solving protein-ligand docking problems is proposed. The proposed algorithm, namely genetic algorithm with crossover elitist preservation (CEPGA), employ the CEP to keep the elite individuals of the last generation and make the crossover more efficient and robust. The performance of CEPGA is tested on sixteen molecular docking complexes from RCSB protein data bank. In comparison with GA, LGA and SODOCK in the aspects of lowest energy and highest accuracy, the results of which indicate that the CEPGA is a reliable and successful method for protein-ligand docking problems.
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