International audienceThe aim of this work is to present a new hybrid algorithm for the Molecular Docking problem: Variable Genetic Operator Search (VGOS). The proposed method combines an Evolutionary Algorithm with Variable Neighborhood Search. Experimental results show that the algorithm is able to achieve good results, in terms of energy optimization and RMSD values for several molecules when compared with previous approaches. In addition, when hybridized with the L-BFGS local search method it attains very competitive results
Protein–ligand docking is a molecular modeling technique that is used to predict the conformat...
A genetic algorithm (GA) combined with a tabu search (TA) has been applied as a minimization method ...
AutoDock is a widely used automated protein docking program in structure-based drug-design. Differen...
International audienceThe aim of this work is to present a new hybrid algorithm for the Molecular Do...
International audienceEvolutionary approaches to molecular docking typically hybridize with local se...
The main objective of the molecular docking problem is to find a conformation between a small molecu...
Molecular docking software makes computational predictions of the interaction of molecules. This can...
Abstract Protein–ligand docking plays an important role in computer-aided pharmaceutical development...
Three heuristic algorithms: simulated annealing, genetic algorithm, and Tabu search were compared to...
Abstract: Genetic Algorithm is an indispensible tool in molecular docking for studying binding inter...
The molecular docking algorithms concern about location of the best conformation to dock a ligand to...
International audienceCommon evolutionary approaches to protein-ligand docking optimization use muta...
Protein-ligand docking is an essential part of computer-aided drug design, and it identifies the bin...
Molecular docking is a Bioinformatics method based on predicting the position and orientation of a ...
Protein–ligand docking is a process of searching for the optimal binding conformation between ...
Protein–ligand docking is a molecular modeling technique that is used to predict the conformat...
A genetic algorithm (GA) combined with a tabu search (TA) has been applied as a minimization method ...
AutoDock is a widely used automated protein docking program in structure-based drug-design. Differen...
International audienceThe aim of this work is to present a new hybrid algorithm for the Molecular Do...
International audienceEvolutionary approaches to molecular docking typically hybridize with local se...
The main objective of the molecular docking problem is to find a conformation between a small molecu...
Molecular docking software makes computational predictions of the interaction of molecules. This can...
Abstract Protein–ligand docking plays an important role in computer-aided pharmaceutical development...
Three heuristic algorithms: simulated annealing, genetic algorithm, and Tabu search were compared to...
Abstract: Genetic Algorithm is an indispensible tool in molecular docking for studying binding inter...
The molecular docking algorithms concern about location of the best conformation to dock a ligand to...
International audienceCommon evolutionary approaches to protein-ligand docking optimization use muta...
Protein-ligand docking is an essential part of computer-aided drug design, and it identifies the bin...
Molecular docking is a Bioinformatics method based on predicting the position and orientation of a ...
Protein–ligand docking is a process of searching for the optimal binding conformation between ...
Protein–ligand docking is a molecular modeling technique that is used to predict the conformat...
A genetic algorithm (GA) combined with a tabu search (TA) has been applied as a minimization method ...
AutoDock is a widely used automated protein docking program in structure-based drug-design. Differen...