International audienceCommon evolutionary approaches to protein-ligand docking optimization use mutation operators based on Gaussian and Cauchy distributions, with local search hybrids. The choice of a local search method is important for an efficient algorithm. We investigate the impact of local search with mutation operators by performing a locality analysis. High locality means that small variations in the genotype imply small variations in the phenotype. Results show that local search hybrids reduce locality and act as local optimizers with the solution as a starting point
120 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2009.In this thesis, we begin by p...
A mapping is local if it preserves neighbourhood. In Evolutionary Computation, locality is generally...
Computer modeling of protein-ligand interactions is one of the most important phases in a drug desig...
Evolutionary approaches to protein-ligand docking typically use a real-value encoding and mutation o...
peer reviewedEvolutionary approaches to protein-ligand docking typically use a real-value encoding a...
International audienceEvolutionary approaches to molecular docking typically hybridize with local se...
International audienceConformational sampling, the computational prediction of the experimental geom...
peer reviewedConformational sampling, the computational prediction of the experimental geometries of...
Molecular docking software makes computational predictions of the interaction of molecules. This can...
International audienceThe aim of this work is to present a new hybrid algorithm for the Molecular Do...
Evolutionary approaches to molecular docking typically use a real-value encoding with standard genet...
In this paper we evaluate the design of the hybrid evolutionary algorithms (EAs) that are currently ...
Protein–ligand docking is a molecular modeling technique that is used to predict the conformat...
Computer modeling of protein-ligand interactions is one of the most important phases in a drug desig...
International audienceStructure-based computational protein design (CPD) refers to the problem of fi...
120 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2009.In this thesis, we begin by p...
A mapping is local if it preserves neighbourhood. In Evolutionary Computation, locality is generally...
Computer modeling of protein-ligand interactions is one of the most important phases in a drug desig...
Evolutionary approaches to protein-ligand docking typically use a real-value encoding and mutation o...
peer reviewedEvolutionary approaches to protein-ligand docking typically use a real-value encoding a...
International audienceEvolutionary approaches to molecular docking typically hybridize with local se...
International audienceConformational sampling, the computational prediction of the experimental geom...
peer reviewedConformational sampling, the computational prediction of the experimental geometries of...
Molecular docking software makes computational predictions of the interaction of molecules. This can...
International audienceThe aim of this work is to present a new hybrid algorithm for the Molecular Do...
Evolutionary approaches to molecular docking typically use a real-value encoding with standard genet...
In this paper we evaluate the design of the hybrid evolutionary algorithms (EAs) that are currently ...
Protein–ligand docking is a molecular modeling technique that is used to predict the conformat...
Computer modeling of protein-ligand interactions is one of the most important phases in a drug desig...
International audienceStructure-based computational protein design (CPD) refers to the problem of fi...
120 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2009.In this thesis, we begin by p...
A mapping is local if it preserves neighbourhood. In Evolutionary Computation, locality is generally...
Computer modeling of protein-ligand interactions is one of the most important phases in a drug desig...