The paper describes the formalization and implementation of an efficient constraint programming framework operating on 3D crystal lattices. The framework is motivated and applied to address the problem of solving the ab-initio protein structure prediction problem—i.e., predicting the 3D structure of a protein from its amino acid sequence. Experimental results demonstrate that our novel approach offers up to a 3 orders of magnitude of speedup compared to other constraint-based solutions proposed for the problem at hand
To find the best lattice model representation of a given full atom protein structure is a hard com-p...
In the study of the protein folding problem with ab initio methods, the protein backbone can be buil...
This paper investigates alternative global constraints that can be introduced in a constraint solver...
This paper presents the design, implementation and application of a constraint programming framework...
. The protein structure prediction problem is one of the most (if not the most) important problem in...
Background: The protein structure prediction problem is one of the most challenging problems in biol...
Abstract Background The protein structure prediction problem is one of the most challenging problems...
In this paper, we summarize the contribution of our research group to the field of Bioinformatics. I...
This research shows optimization approaches to protein folding. The protein folding problem is to pr...
Simplified protein models are used for investigating general properties of proteins and principles o...
Crystal lattices are discrete models of the three-dimensional space that have been effectively emplo...
This paper investigates alternative global constraints that can be introduced in a constraint solver...
To find the best lattice model representation of a given full atom protein structure is a hard compu...
The paper describes a constraint-based solution to the protein folding problem on face-centered cubi...
In this chapter, we present a review of various approaches to modeling protein structure by means of...
To find the best lattice model representation of a given full atom protein structure is a hard com-p...
In the study of the protein folding problem with ab initio methods, the protein backbone can be buil...
This paper investigates alternative global constraints that can be introduced in a constraint solver...
This paper presents the design, implementation and application of a constraint programming framework...
. The protein structure prediction problem is one of the most (if not the most) important problem in...
Background: The protein structure prediction problem is one of the most challenging problems in biol...
Abstract Background The protein structure prediction problem is one of the most challenging problems...
In this paper, we summarize the contribution of our research group to the field of Bioinformatics. I...
This research shows optimization approaches to protein folding. The protein folding problem is to pr...
Simplified protein models are used for investigating general properties of proteins and principles o...
Crystal lattices are discrete models of the three-dimensional space that have been effectively emplo...
This paper investigates alternative global constraints that can be introduced in a constraint solver...
To find the best lattice model representation of a given full atom protein structure is a hard compu...
The paper describes a constraint-based solution to the protein folding problem on face-centered cubi...
In this chapter, we present a review of various approaches to modeling protein structure by means of...
To find the best lattice model representation of a given full atom protein structure is a hard com-p...
In the study of the protein folding problem with ab initio methods, the protein backbone can be buil...
This paper investigates alternative global constraints that can be introduced in a constraint solver...