fined by the spatial coordinates of a subset of its atoms, usually the C # - and/or C # -atoms. A series of studies using a variety of di#erent knowledge based potentials by di#erent groups demonstrated that the energy of the native fold (i.e., putative ground state) of a sequence x can be estimated from the distribution of the values W for x in its conformation space, see e.g. [8, 4]. This allows the construction of an energy scale (z-score [5]) by which conformations of di#erent sequences can be compared: z(x, #) = W (x, #) -W (x) #W (x) . (1) Here the average energy W (x) of sequence x is obtained from evaluating x in all conformations in a dat
Under appropriate physiological conditions, proteins fold into their biologically active native conf...
Shortcomings in the definition of effective free-energy surfaces of proteins are recognized to be a ...
International audienceProtein design has many applications not only in biotechnology but also in bas...
We propose a novel and flexible derivation scheme of statistical, database-derived, potentials, whic...
The problem of finding amino acid sequences able to fold into a defined three-dimensional (3D) stru...
AbstractWe propose a novel and flexible derivation scheme of statistical, database-derived, potentia...
The structure, function, stability, and many other properties of a protein in a fixed environment ar...
Background: Success in solving the protein structure prediction problem relies on the choice of an a...
Background: Recent advances on high-throughput technologies have produced a vast amount of protein s...
Database-derived potentials, compiled from frequencies of sequence and structure features, are often...
We present an analysis of the assumptions behind some of the most commonly used methods for evaluati...
Computational design of sequences for a given structure is generally studied by exhaustively enumera...
One of the approaches to protein structure prediction is to obtain energy functions which can recogn...
International audienceProtein design aims at conceiving new proteins or modifying existing ones to o...
An effective potential function is critical for protein structure prediction and folding simulation....
Under appropriate physiological conditions, proteins fold into their biologically active native conf...
Shortcomings in the definition of effective free-energy surfaces of proteins are recognized to be a ...
International audienceProtein design has many applications not only in biotechnology but also in bas...
We propose a novel and flexible derivation scheme of statistical, database-derived, potentials, whic...
The problem of finding amino acid sequences able to fold into a defined three-dimensional (3D) stru...
AbstractWe propose a novel and flexible derivation scheme of statistical, database-derived, potentia...
The structure, function, stability, and many other properties of a protein in a fixed environment ar...
Background: Success in solving the protein structure prediction problem relies on the choice of an a...
Background: Recent advances on high-throughput technologies have produced a vast amount of protein s...
Database-derived potentials, compiled from frequencies of sequence and structure features, are often...
We present an analysis of the assumptions behind some of the most commonly used methods for evaluati...
Computational design of sequences for a given structure is generally studied by exhaustively enumera...
One of the approaches to protein structure prediction is to obtain energy functions which can recogn...
International audienceProtein design aims at conceiving new proteins or modifying existing ones to o...
An effective potential function is critical for protein structure prediction and folding simulation....
Under appropriate physiological conditions, proteins fold into their biologically active native conf...
Shortcomings in the definition of effective free-energy surfaces of proteins are recognized to be a ...
International audienceProtein design has many applications not only in biotechnology but also in bas...