International audienceThis paper presents a method of reconstruction a primary structure of a protein that folds into a given geometrical shape. This method predicts the primary structure of a protein and restores its linear sequence of amino acids in the polypeptide chain using the tertiary structure of a molecule. Unknown amino acids are determined according to the principle of energy minimization. This study represents inverse folding problem as a quadratic optimization problem and uses different relaxation techniques to reduce it to the problem of convex optimizations. Computational experiment compares the quality of these approaches on real protein structures
Proteins are chains of simple molecules called amino acids. The three-dimensional shape of a protein...
The notion of optimization is inherent in the design of a sequence of amino acid monomer types in a ...
AbstractThis paper presents a novel guided search strategy Extremal Optimization (EO) with constrain...
International audienceThis paper presents a method of reconstruction a primary structure of a protei...
The notion of optimization is inherent in protein design. A long linear chain of twenty types of ami...
It should be possible to predict the fold of a protein into its native conformation, once we are giv...
AbstractIt should be possible to predict the fold of a protein into its native conformation, once we...
Inverse protein folding concerns the identification of an amino acid sequence that folds to a given ...
This research shows optimization approaches to protein folding. The protein folding problem is to pr...
International audienceMillions of proteins are being identified every year by high throughput genome...
One of the grand challenges in computational biology is the prediction of the three-dimensional stru...
Under appropriate physiological conditions, proteins fold into their biologically active native conf...
The protein folding problem is a fundamental problem in computational molecular biology and biochemi...
AbstractThe protein folding problem is the problem of predicting the 3D structure of a protein when ...
Abstract- A problem of immense importance in computational biology is the determination of the funct...
Proteins are chains of simple molecules called amino acids. The three-dimensional shape of a protein...
The notion of optimization is inherent in the design of a sequence of amino acid monomer types in a ...
AbstractThis paper presents a novel guided search strategy Extremal Optimization (EO) with constrain...
International audienceThis paper presents a method of reconstruction a primary structure of a protei...
The notion of optimization is inherent in protein design. A long linear chain of twenty types of ami...
It should be possible to predict the fold of a protein into its native conformation, once we are giv...
AbstractIt should be possible to predict the fold of a protein into its native conformation, once we...
Inverse protein folding concerns the identification of an amino acid sequence that folds to a given ...
This research shows optimization approaches to protein folding. The protein folding problem is to pr...
International audienceMillions of proteins are being identified every year by high throughput genome...
One of the grand challenges in computational biology is the prediction of the three-dimensional stru...
Under appropriate physiological conditions, proteins fold into their biologically active native conf...
The protein folding problem is a fundamental problem in computational molecular biology and biochemi...
AbstractThe protein folding problem is the problem of predicting the 3D structure of a protein when ...
Abstract- A problem of immense importance in computational biology is the determination of the funct...
Proteins are chains of simple molecules called amino acids. The three-dimensional shape of a protein...
The notion of optimization is inherent in the design of a sequence of amino acid monomer types in a ...
AbstractThis paper presents a novel guided search strategy Extremal Optimization (EO) with constrain...