.In this paper, genetic algorithm GA was used to both sample the conformational spaces and thoroughly search the global conformations of peptides. d-conotoxin PVIA, a peptide of 29 amino acids, was used to test our procedure. The results indi-cated that this procedure could not only successfully explore a set of the conformational spaces using a hybrid Monte Carl
A new approach for coverage of the conformational space by a limited number of conformers is propose...
Key words: comparative conformational analysis, peptide libraries, probabilities of occurrence of st...
The identification of low-energy conformers for a given molecule is a fundamental problem in computa...
In this paper, genetic algorithm (GA) was used to both sample the conformational spaces and thorough...
We describe a computer algorithm to predict native structures of proteins and peptides from their pr...
Abstract. Predicting the 3D native conformation of a protein given the amino acid sequence is known ...
Thorough searches on the potential energy surfaces of five tripeptides, GGG, GYG, GWG, TGG, and MGG,...
<div><p>The binding of short disordered peptide stretches to globular protein domains is important f...
We tested the dihedral probability grid Monte Carlo (DPG‐MC) methodology to determine optimal confor...
AbstractFinding the near-native structure of a protein is one of the most important open problems in...
The energy function of a protein consists of a tremendous number of minima. Locating the global ener...
A general procedure for arriving at 3-D models of disulphiderich olypeptide systems based on the cov...
The ability to accurately predict a polypeptide\u27s molecular structure given its amino acid sequen...
Protein is a sequence of amino acids bounded into a linear chain that adopts a specific folded three...
AbstractWe propose an alternative stochastic strategy to search secondary structures based on the ge...
A new approach for coverage of the conformational space by a limited number of conformers is propose...
Key words: comparative conformational analysis, peptide libraries, probabilities of occurrence of st...
The identification of low-energy conformers for a given molecule is a fundamental problem in computa...
In this paper, genetic algorithm (GA) was used to both sample the conformational spaces and thorough...
We describe a computer algorithm to predict native structures of proteins and peptides from their pr...
Abstract. Predicting the 3D native conformation of a protein given the amino acid sequence is known ...
Thorough searches on the potential energy surfaces of five tripeptides, GGG, GYG, GWG, TGG, and MGG,...
<div><p>The binding of short disordered peptide stretches to globular protein domains is important f...
We tested the dihedral probability grid Monte Carlo (DPG‐MC) methodology to determine optimal confor...
AbstractFinding the near-native structure of a protein is one of the most important open problems in...
The energy function of a protein consists of a tremendous number of minima. Locating the global ener...
A general procedure for arriving at 3-D models of disulphiderich olypeptide systems based on the cov...
The ability to accurately predict a polypeptide\u27s molecular structure given its amino acid sequen...
Protein is a sequence of amino acids bounded into a linear chain that adopts a specific folded three...
AbstractWe propose an alternative stochastic strategy to search secondary structures based on the ge...
A new approach for coverage of the conformational space by a limited number of conformers is propose...
Key words: comparative conformational analysis, peptide libraries, probabilities of occurrence of st...
The identification of low-energy conformers for a given molecule is a fundamental problem in computa...