Multi-modal perceptualization of volumetric data and its application to molecular docking

Abstract

In this paper, we present a multi-modal data perceptualization system used to analyze the benefits of augmenting a volume docking problem with other perceptual cues, particularly stereoscopic vision and haptic rendering. This work focuses on the problem of matching complex three-dimensional shapes in order to reproduce known configurations. Specifically, we focus on the docking of two proteins, actin and cofilin, responsible for cellular locomotion. Users were shown examples of cofilin combining with actin and asked to reproduce this match. Accuracy of the match and completion time were measured and analyzed in order to quantify the benefits of augmenting tools for such a task.