This paper presents a memetic algorithm with self-adaptive local search, applied to protein structure prediction in an HP, cubiclattice model. Besides describing in detail how the ...
This paper introduces an approach for identifying predictive structures in relational data using the multiple-instance framework. By a predictive structure, we mean a structure th...
The prediction of protein 3D structure has become a hot research area in the post-genome era, through which people can understand a protein’s function in health and disease, exp...
Wenlong Li, Tao Wang, Eric Li, D. Baker, Li Jin, S...
Background: The protein structure prediction problem is one of the most challenging problems in biological sciences. Many approaches have been proposed using database information ...
Background: In ribonucleic acid (RNA) molecules whose function depends on their final, folded three-dimensional shape (such as those in ribosomes or spliceosome complexes), the se...