14-02-2018 | Methodologies and Application
A biased random key genetic algorithm for the protein–ligand docking problem
Published in: Soft Computing | Issue 12/2019
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Abstract
BRKGA-DOCK
) has been tested on a selection of protein–ligand complexes and compared to existing tools AUTODOCK VINA
, DOCKTHOR
, and a multiobjective approach (jMETAL
). Compared to other traditional docking software, the proposed method shows best average Root-Mean-Square Deviation. Structural results were also statistically analyzed. The proposed method proved to be efficient and a good alternative for the molecular docking problem.