… 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 …

… 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…

… 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 …

… 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 …

… 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], …

… 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 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 …

… 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 …

… (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 …

… The program was tested on four protein-ligand complexes, … improve the binary
chromosome-based genetic algorithm (see section 3.5). Clark and Ajay also used their genetic …