Three dimensional structure prediction of a protein from its amino acid sequence, known as protein folding, is one of the most studied computational problem in bioinformatics and computational biology. Since, this is a hard problem, a number of simplified models have been proposed in literature to capture the essential properties of this problem. In this paper we introduce the hexagonal lattices with diagonals to handle the protein folding problem considering the well researched HP model. We give two approximation algorithms for protein folding on this lattice. Our first algorithm is a 53-approximation algorithm, which is based on the strategy of partitioning the entire protein sequence into two pieces. Our next algorithm is also based on p...
We introduce a Firefly-inspired algorithmic approach for protein structure prediction over two diffe...
The paper describes the formalization and implementation of an efficient constraint programming fram...
models of proteins have been widely used as a practical means to computationally investigate general...
This article was published in the BMC Bioinformatics [© 2014 Shaw et al.; licensee BioMed Central Lt...
AbstractOne of the most important open problems in computational biology is the prediction of the co...
One of the most important open problems in computational molecular biology is the prediction of the ...
The HP model is one of the most popular discretized models for attacking the protein folding problem...
Richa Agarwala y Serafim Batzoglou z Vlado Danc'ik x Scott E. Decatur -- Martin Farach ...
A branch and bound algorithm is proposed for the two-dimensional protein folding problem in the HP l...
Simplified protein models are used for investigating general properties of proteins and principles o...
The protein folding problem is a fundamental problem in computational molecular biology and biochemi...
An approach to the hydrophobic-polar (HP) protein folding model was developed using a genetic algori...
This research shows optimization approaches to protein folding. The protein folding problem is to pr...
A HP like nonlinear programming model and a “brutforce” algorithm is proposed. The model takes into ...
This paper considers the protein structure prediction problem for lattice and off-lattice protein fo...
We introduce a Firefly-inspired algorithmic approach for protein structure prediction over two diffe...
The paper describes the formalization and implementation of an efficient constraint programming fram...
models of proteins have been widely used as a practical means to computationally investigate general...
This article was published in the BMC Bioinformatics [© 2014 Shaw et al.; licensee BioMed Central Lt...
AbstractOne of the most important open problems in computational biology is the prediction of the co...
One of the most important open problems in computational molecular biology is the prediction of the ...
The HP model is one of the most popular discretized models for attacking the protein folding problem...
Richa Agarwala y Serafim Batzoglou z Vlado Danc'ik x Scott E. Decatur -- Martin Farach ...
A branch and bound algorithm is proposed for the two-dimensional protein folding problem in the HP l...
Simplified protein models are used for investigating general properties of proteins and principles o...
The protein folding problem is a fundamental problem in computational molecular biology and biochemi...
An approach to the hydrophobic-polar (HP) protein folding model was developed using a genetic algori...
This research shows optimization approaches to protein folding. The protein folding problem is to pr...
A HP like nonlinear programming model and a “brutforce” algorithm is proposed. The model takes into ...
This paper considers the protein structure prediction problem for lattice and off-lattice protein fo...
We introduce a Firefly-inspired algorithmic approach for protein structure prediction over two diffe...
The paper describes the formalization and implementation of an efficient constraint programming fram...
models of proteins have been widely used as a practical means to computationally investigate general...