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 …
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 …
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 …
development. Protein–ligand docking can be defined as a search algorithm with a scoring …
An improved LGA for protein-ligand docking prediction
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 …
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 …
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 …
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
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 …
affinity between ligand and protein, and guide the synthesis direction of the lead …
Protein–ligand docking using differential evolution with an adaptive mechanism
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 …
remains challenging in bioinformatics. A successful protein–ligand docking approach …
PSOVina: The hybrid particle swarm optimization algorithm for protein–ligand docking
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 …
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
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 …
The challenge for a protein–ligand docking method is how to execute an efficient …
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