作者: Oliver Korb , Thomas Stützle , Thomas E. Exner
DOI: 10.1007/11839088_22
关键词: Drug development 、 Swarm intelligence 、 Ant colony 、 Structure based 、 Mathematical optimization 、 Virtual screening 、 Docking (molecular) 、 Artificial intelligence 、 Genetic algorithm 、 Computer science 、 Ant colony optimization algorithms
摘要: A central part of the rational drug development process is prediction complex structure a small ligand with protein, so-called protein-ligand docking problem, used in virtual screening large databases and lead optimization. In work presented here, we introduce new algorithm called PLANTS (Protein-Ligand ANTSystem), which based on ant colony An artificial employed to find minimum energy conformation protein’s binding site. We present effectiveness for several parameter settings as well direct comparison state-of-the-art program GOLD, genetic algorithm. Last but not least, results protein target factor Xa are presented.