体积数据的多模态感知及其在分子对接中的应用

Ross Maciejewski, Seungmoon Choi, D. Ebert, H. Tan
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引用次数: 27

摘要

在本文中,我们提出了一个多模态数据感知系统,用于分析与其他感知线索(特别是立体视觉和触觉渲染)增强体对接问题的好处。这项工作的重点是匹配复杂的三维形状的问题,以重现已知的配置。具体来说,我们专注于两种蛋白质的对接,肌动蛋白和cofilin,负责细胞运动。研究人员向用户展示了cofilin与actin结合的例子,并要求他们重现这种匹配。测量和分析了匹配的准确性和完成时间,以便量化增强工具对此类任务的好处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-modal perceptualization of volumetric data and its application to molecular docking
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.
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