We discuss a general method for protein design based on an analysis in sequence space of the Boltzmann weight for a given target structure. An efficient Monte Carlo code that explores sequence space (and, for each sequence, the space of compact and noncompact conformations) is implemented and tested in two models in two dimensions which are amenable to an exact solution-the design procedure is always successful
BACKGROUND: Designing amino acid sequences that are stable in a given target structure amounts to ma...
Combinatorial experiments provide a way to study a large number (10 4–1012) of protein sequences at ...
A simple and very efficient protein design strategy is proposed by developing some recently intr...
A method for sequence optimization in protein models is presented. The approach, which has inherited...
We develop a new global optimization strategy, gradient-directed Monte Carlo (GDMC) sampling, to opt...
A sequence design method based on maximizing the thermodynamic occupying proba-bility of the target ...
We present a detailed study of the performance and reliability of design procedures based on ene...
A general strategy is described for finding which amino acid sequences have native states in a desir...
Abstract Background The aim of protein design is to predict amino-acid sequences compatible with a g...
An automated procedure for protein design by optimiza-tion of a sequence-structure quality has been ...
International audienceProtein design aims at conceiving new proteins or modifying existing ones to o...
AbstractA simple and very efficient protein design strategy is proposed by developing some recently ...
A simple and very efficient protein design strategy is proposed by developing some recently introduc...
International audienceWe describe methods for physics-based protein design and some recent applicati...
The notion of optimization is inherent in protein design. A long linear chain of twenty types of ami...
BACKGROUND: Designing amino acid sequences that are stable in a given target structure amounts to ma...
Combinatorial experiments provide a way to study a large number (10 4–1012) of protein sequences at ...
A simple and very efficient protein design strategy is proposed by developing some recently intr...
A method for sequence optimization in protein models is presented. The approach, which has inherited...
We develop a new global optimization strategy, gradient-directed Monte Carlo (GDMC) sampling, to opt...
A sequence design method based on maximizing the thermodynamic occupying proba-bility of the target ...
We present a detailed study of the performance and reliability of design procedures based on ene...
A general strategy is described for finding which amino acid sequences have native states in a desir...
Abstract Background The aim of protein design is to predict amino-acid sequences compatible with a g...
An automated procedure for protein design by optimiza-tion of a sequence-structure quality has been ...
International audienceProtein design aims at conceiving new proteins or modifying existing ones to o...
AbstractA simple and very efficient protein design strategy is proposed by developing some recently ...
A simple and very efficient protein design strategy is proposed by developing some recently introduc...
International audienceWe describe methods for physics-based protein design and some recent applicati...
The notion of optimization is inherent in protein design. A long linear chain of twenty types of ami...
BACKGROUND: Designing amino acid sequences that are stable in a given target structure amounts to ma...
Combinatorial experiments provide a way to study a large number (10 4–1012) of protein sequences at ...
A simple and very efficient protein design strategy is proposed by developing some recently intr...