ABSTRACT The results of an optimization of a folding potential are reported. The complete energy function is modeled as a sum of pairwise interac-tions with a flexible functional form. The relevant distance between two amino acids (2 2 9 Å) is divided into 13 intervals, and the energy of each interval is optimized independently. We show, in accord with a previous publication (Tobi et al., Proteins 2000;40:71–85) that it is impossible to find a pair potential with the above flexible form that recognizes all native folds. Nevertheless, a potential that rates correctly a subset of the decoy structures was constructed and optimized. The resulting poten-tial is compared with a distance-dependent statisti-cal potential of Bahar and Jernigan. It i...
Knowledge-based potentials are energy functions derived from the analysis of databases of protein st...
An effective potential function is critical for protein structure prediction and folding simulation....
AbstractDifferent components of the theoretical protein folding problem are evaluated critically. It...
The idea of using empirical amino acid-pair-potentials extracted from proteins of known structure in...
In an approach to the protein folding problem by a Genetic Algorithm, the fitness function plays a c...
Under appropriate physiological conditions, proteins fold into their biologically active native conf...
Abstract: Background: We present a simple method to train a potential function for the protein foldi...
Abstract: Background: We present a simple method to train a potential function for the protein foldi...
Abstract Background We present a simple method to tra...
During evolution, the effective interactions between residues in a protein can be adjusted through m...
. A smooth empirical potential is constructed for use in off-lattice protein folding studies. Our po...
This is our second type of model for protein folding where the configurational parameters and the ef...
An effective potential function is critical for protein structure prediction and folding simulation....
AbstractKnowledge-based potentials are widely used in simulations of protein folding, structure pred...
<div><p>Knowledge-based potentials are energy functions derived from the analysis of databases of pr...
Knowledge-based potentials are energy functions derived from the analysis of databases of protein st...
An effective potential function is critical for protein structure prediction and folding simulation....
AbstractDifferent components of the theoretical protein folding problem are evaluated critically. It...
The idea of using empirical amino acid-pair-potentials extracted from proteins of known structure in...
In an approach to the protein folding problem by a Genetic Algorithm, the fitness function plays a c...
Under appropriate physiological conditions, proteins fold into their biologically active native conf...
Abstract: Background: We present a simple method to train a potential function for the protein foldi...
Abstract: Background: We present a simple method to train a potential function for the protein foldi...
Abstract Background We present a simple method to tra...
During evolution, the effective interactions between residues in a protein can be adjusted through m...
. A smooth empirical potential is constructed for use in off-lattice protein folding studies. Our po...
This is our second type of model for protein folding where the configurational parameters and the ef...
An effective potential function is critical for protein structure prediction and folding simulation....
AbstractKnowledge-based potentials are widely used in simulations of protein folding, structure pred...
<div><p>Knowledge-based potentials are energy functions derived from the analysis of databases of pr...
Knowledge-based potentials are energy functions derived from the analysis of databases of protein st...
An effective potential function is critical for protein structure prediction and folding simulation....
AbstractDifferent components of the theoretical protein folding problem are evaluated critically. It...