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A System Assisting Trial-and-Error Parameter Tuning for Docking Simulation(computational assistance)
Molecular docking simulation is a promising application for drug design. Although docking simulation and the related information technology have advanced in recent years, scientists still have difficulty in finding a suitable parameter set of docking programs because parameter-tuning step contains the scientists' trial-and-error processes. We define "trial set" model that can flexibly describe tools' flow and a way of parameter tuning for that tools. In this paper, we propose a system that can perform procedures described in a trial set to assist scientists' trial-and-error in parameter tuning. This system has potential to improve the whole process of in-silico screening. |