An improved adaptive genetic algorithm for protein–ligand docking
L Kang, H Li, H Jiang, X Wang - Journal of computer-aided molecular …, 2009 - Springer
… docking is proposed, and a fast flexible docking method based on an improved adaptive
genetic algorithm is … The algorithm takes some advanced techniques, such as multi-population …
genetic algorithm is … The algorithm takes some advanced techniques, such as multi-population …
Improving protein docking using sustainable genetic algorithms
… the main advantage of sustainable evolutionary algorithms is their capability to … protein-ligand
docking programs can also be potentially improved by the sustainable genetic algorithms…
docking programs can also be potentially improved by the sustainable genetic algorithms…
Flexible ligand docking using a genetic algorithm
CM Oshiro, ID Kuntz, JS Dixon - Journal of computer-aided molecular …, 1995 - Springer
… In this paper, we evaluate the usefulness of the genetic algorithm (GA) to dock conformationally
flexible ligands into a rigid enzyme. The long-term objective of this work is to develop a …
flexible ligands into a rigid enzyme. The long-term objective of this work is to develop a …
Evaluating genetic algorithms in protein-ligand docking
R Ördög, V Grolmusz - International Symposium on Bioinformatics …, 2008 - Springer
… One of the very few protein-ligand docking software with … Autodock 3.05 uses a Lamarckian
genetic algorithm for global … that the docking energies found by the genetic algorithm have …
genetic algorithm for global … that the docking energies found by the genetic algorithm have …
Adaptive molecular docking method based on information entropy genetic algorithm
Z Li, J Gu, H Zhuang, L Kang, X Zhao, Q Guo - Applied Soft Computing, 2015 - Elsevier
… To evaluate this method, we carried out a numerical experiment with 134 protein–ligand …
can bind to known protein binding sites. In this paper, an improved adaptive GA is adopted [23], …
can bind to known protein binding sites. In this paper, an improved adaptive GA is adopted [23], …
Protein–ligand docking with evolutionary algorithms
R Thomsen - Computational Intelligence in Bioinformatics, 2007 - Wiley Online Library
… protein–ligand docking. This chapter contains an overview of protein–ligand docking algorithms
… the scoring functions used to evaluate docking solutions. The chapter concludes with an …
… the scoring functions used to evaluate docking solutions. The chapter concludes with an …
A biased random key genetic algorithm for the protein–ligand docking problem
… the best protein–ligand binding affinity, the development of new strategies, the adaptation,
and … to the molecular docking problem are needed. We developed a Biased Random Key …
and … to the molecular docking problem are needed. We developed a Biased Random Key …
Protein–ligand docking using differential evolution with an adaptive mechanism
… evolutionary algorithms, such as adaptive DE, contributes to solving the protein–ligand
docking … In this study, we attempt to improve the performance of a protein–ligand docking …
docking … In this study, we attempt to improve the performance of a protein–ligand 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
… (LGA), running history information guided genetic algorithm (… the algorithm is more applicable
to solve the protein–ligand … Comparing Algorithm 1 with Algorithm 2, when the p-value …
to solve the protein–ligand … Comparing Algorithm 1 with Algorithm 2, when the p-value …