Add to ORKG1The Protein Structure Prediction (PSP) problem is a Grand Challenge problem among biochemists, com-puter scientists and engineers alike. Solving this prob-lem involves correctly predicting the geometrical confor-mation of a fully folded protein. This paper focuses on CHARMm energy minimization and the use of a genetic algorithm, the fast messy genetic algorithm (fmGA), to obtain solutions to this optimization problem. The fmGA is a novel algorithm that explicitly manipulates building blocks (BBs) in order to obtain \good " solu-tions to an optimization problem. In order to obtain these \good " solutions, fully speci¯ed competitive tem-plates are used within the fmGA to evaluate the BBs found. This paper presents \good " resu...
The protein folding problem is a biochemistry Grand Challenge problem. The challenge is to reliably ...
Protein Structure Prediction (PSP) problem is to determine the three-dimensional structure of a prot...
Evolutionary algorithms (EAs) have been shown to be competent at solving complex, multimodal optimis...
The ability to accurately predict a polypeptide\u27s molecular structure given its amino acid sequen...
Evolutionary algorithms have been successfully applied to a variety of molecular structure predictio...
In recent years, there is a growing interest in using Genetic Algorithms (GAs) in the protein struct...
Abstract. Predicting the 3D native conformation of a protein given the amino acid sequence is known ...
In recent years, there is a growing interest in using Genetic Algorithms (GAs) in the protein struct...
Protein is a sequence of amino acids bounded into a linear chain that adopts a specific folded three...
Protein is a sequence of amino acids bounded into a linear chain that adopts a specific folded three...
In-vitro methods for protein structure determination are time-consuming, cost-intensive, and failure...
Over the last few years it has been shown that protein modelling techniques, especially template bas...
Interest in discovering a methodology for solving the Protein Structure Prediction problem extends i...
ABSTRACT This paper presents a new Genetic Algorithm for Protein Structure Prediction problem in bot...
Abstract—Protein structure prediction is one of the most challenging problems in computational biolo...
The protein folding problem is a biochemistry Grand Challenge problem. The challenge is to reliably ...
Protein Structure Prediction (PSP) problem is to determine the three-dimensional structure of a prot...
Evolutionary algorithms (EAs) have been shown to be competent at solving complex, multimodal optimis...
The ability to accurately predict a polypeptide\u27s molecular structure given its amino acid sequen...
Evolutionary algorithms have been successfully applied to a variety of molecular structure predictio...
In recent years, there is a growing interest in using Genetic Algorithms (GAs) in the protein struct...
Abstract. Predicting the 3D native conformation of a protein given the amino acid sequence is known ...
In recent years, there is a growing interest in using Genetic Algorithms (GAs) in the protein struct...
Protein is a sequence of amino acids bounded into a linear chain that adopts a specific folded three...
Protein is a sequence of amino acids bounded into a linear chain that adopts a specific folded three...
In-vitro methods for protein structure determination are time-consuming, cost-intensive, and failure...
Over the last few years it has been shown that protein modelling techniques, especially template bas...
Interest in discovering a methodology for solving the Protein Structure Prediction problem extends i...
ABSTRACT This paper presents a new Genetic Algorithm for Protein Structure Prediction problem in bot...
Abstract—Protein structure prediction is one of the most challenging problems in computational biolo...
The protein folding problem is a biochemistry Grand Challenge problem. The challenge is to reliably ...
Protein Structure Prediction (PSP) problem is to determine the three-dimensional structure of a prot...
Evolutionary algorithms (EAs) have been shown to be competent at solving complex, multimodal optimis...