HIGA: a running history information guided genetic algorithm for protein–ligand docking

B Guan, C Zhang, Y Zhao - Molecules, 2017 - mdpi.com
Protein-ligand docking is an essential part of computer-aided drug design, and it identifies
the binding patterns of proteins and ligands by computer simulation. Though Lamarckian …

EDGA: a population evolution direction-guided genetic algorithm for protein–ligand docking

B Guan, C Zhang, J Ning - Journal of Computational Biology, 2016 - liebertpub.com
Protein–ligand docking can be formulated as a search algorithm associated with an
accurate scoring function. However, most current search algorithms cannot show good …

Genetic algorithm with a crossover elitist preservation mechanism for protein–ligand docking

B Guan, C Zhang, J Ning - Amb Express, 2017 - Springer
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 …

An improved LGA for protein-ligand docking prediction

CW Tsai, JL Chen, CS Yang - 2012 IEEE Congress on …, 2012 - ieeexplore.ieee.org
Since the high computational cost of the structure-based protein-Ligand docking prediction
is one of the major problems in designing new drugs, many researchers keep looking for a …

A comparison of various optimization algorithms of protein–ligand docking programs by fitness accuracy

L Guo, Z Yan, X Zheng, L Hu, Y Yang… - Journal of molecular …, 2014 - Springer
In protein–ligand docking, an optimization algorithm is used to find the best binding pose of
a ligand against a protein target. This algorithm plays a vital role in determining the docking …

An efficient ABC_DE_based hybrid algorithm for protein–ligand docking

B Guan, C Zhang, Y Zhao - International journal of molecular sciences, 2018 - mdpi.com
Protein–ligand docking is a process of searching for the optimal binding conformation
between the receptor and the ligand. Automated docking plays an important role in drug …

RDPSOVina: the random drift particle swarm optimization for protein–ligand docking

J Li, C Li, J Sun, V Palade - Journal of Computer-Aided Molecular Design, 2022 - Springer
Protein–ligand docking is of great importance to drug design, since it can predict the binding
affinity between ligand and protein, and guide the synthesis direction of the lead …

Protein–ligand docking using differential evolution with an adaptive mechanism

S Song, X Chen, Y Zhang, Z Tang, Y Todo - Knowledge-Based Systems, 2021 - Elsevier
The protein–ligand docking problem plays a crucial role in the drug discovery process and
remains challenging in bioinformatics. A successful protein–ligand docking approach …

PSOVina: The hybrid particle swarm optimization algorithm for protein–ligand docking

MCK Ng, S Fong, SWI Siu - Journal of bioinformatics and …, 2015 - World Scientific
Protein–ligand docking is an essential step in modern drug discovery process. The
challenge here is to accurately predict and efficiently optimize the position and orientation of …

Improving the artificial bee colony algorithm with a proprietary estimation of distribution mechanism for protein–ligand docking

S Song, C Tang, Z Song, J Qu, X Chen - Applied Soft Computing, 2024 - Elsevier
The protein–ligand docking problem plays an essential role in structure-based drug design.
The challenge for a protein–ligand docking method is how to execute an efficient …