In this study we have designed a novel algorithm for searching common segments in multiple DNA sequences. To improve efficiency in pattern searching, combination of hashing encodi...
Tun-Wen Pai, Margaret Dah-Tsyr Chang, Jia-Han Chu,...
Among the most important challenges for contemporary AI research are the development of methods for improved robustness, adaptability, and overall interactiveness of systems. Inter...
Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...
Background: Prediction of catalytic residues is a major step in characterizing the function of enzymes. In its simpler formulation, the problem can be cast into a binary classific...
Background: Virtual or in silico ligand screening combined with other computational methods is one of the most promising methods to search for new lead compounds, thereby greatly ...
Tania Pencheva, David Lagorce, Ilza Pajeva, Bruno ...