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相关概念视频

Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

651
Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
651

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相关实验视频

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An Open-Source Virtual Reality System for the Measurement of Spatial Learning in Head-Restrained Mice
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用虚拟现实改进了分子对接与人类空间感知,使用虚拟现实.

Shivam Mishra, Missael Corro-Flores, David Krum

    IEEE transactions on visualization and computer graphics
    |March 7, 2024
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    此摘要是机器生成的。

    这项研究引入了一种新的方法,将虚拟现实 (VR) 与自适应导向分子动力学 (ASMD) 结合起来,以加速药物发现. 虚拟现实引导的模拟显著提高了对蛋白质标的联结效率和准确性.

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    科学领域:

    • 计算生物物理学的计算生物物理.
    • 分子动力学模拟的模拟.
    • 药物发现 药物发现

    背景情况:

    • 适应式定向分子动力学 (ASMD) 应用外部力量来引导分子运动.
    • 虚拟现实 (VR) 为分子动力学和对接提供交互式可视化.

    研究的目的:

    • 开发一种新的方法指导ASMD使用人引导轨迹从互动分子动力学在VR (iMD-VR).
    • 评估VR辅助ASMD在加快蛋白质 - 配体结合和提高精度方面的有效性.

    主要方法:

    • 虚拟现实中的交互分子动力学 (iMD-VR) 用于收集最佳的连接体结合轨迹.
    • 这些由人类指导的轨迹被用来指导自适应指导分子动力学 (ASMD) 模拟.
    • 用iMD-VR辅助的ASMD的性能与标准ASMD模拟进行了比较.

    主要成果:

    • 通过iMD-VR辅助的ASMD证明了连接物与蛋白质结合部位的更快,更有效的融合.
    • 该方法实现了更高的潜在平均力 (PMF) 值,几乎是标准ASMD的两倍.
    • 用户可以引导阿姆普雷纳维尔进入HIV-1蛋白酶结合口袋,并在5分钟内重建晶体图形姿势.

    结论:

    • 虚拟现实辅助ASMD是一种新且有效的方法,通过提高连接体结合效率和精度来加速药物发现.
    • 这种方法显示了在药物设计中改善分子动力学模拟的巨大潜力.
    • 未来的工作将专注于人工智能算法,以预测最佳的绑定轨迹和转向力.