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As VR/AR interfaces are anticipated to be explosive in consumer markets, systems biologists will be more immersed into their world. Because humans learn the physical world through a gradual sensory familiarization, these immersive visualizations enable gaining familiarity with biological systems not realizable in the physical world (e.g., allosteric regulatory networks within a protein or biomolecular pathways inside a cell). Similarly, Augmented Reality (AR), superimposes virtual images to the real world.
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While this virtual environment does not necessarily match the real world, by creating the illusion of reality, it helps users leverage the full range of human sensory capabilities. Virtual Reality (VR) technology uses computers and HCIs to create the feeling of immersion in a three-dimensional (3D) environment that contains interactive objects with a sense of spatial presence, where objects have a spatial location relative to, and independent of the users. Yet, recent advances in computing technology, internetworked devices and gaming are driving the design and development of new ideas in other modes of human-computer interfaces (HCIs). How we interact with computer graphics has not changed significantly from viewing 2D text and images on a flatscreen since their invention.
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A copy of the program is available free of charge from, and a working version can be accessed at. We release ProteinVR under the open-source BSD-3-Clause license. Our web-based implementation is ideal for hypothesis generation and education in research and large-classroom settings. ProteinVR displays molecular structures within 3D environments that give useful biological context and allow users to situate themselves in 3D space. Here we introduce ProteinVR, a web-based application that works on various VR setups and operating systems.
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Virtual reality (VR) enables protein visualization in stereoscopic 3D, but many VR molecular-visualization programs are expensive and challenging to use work only on specific VR headsets rely on complicated model-preparation software and/or require the user to install separate programs or plugins. Accurately conceptualizing 3D protein/ligand structures is thus vital to scientific research and education. Protein structure determines biological function.
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Using innovative 3D techniques, we provide a user friendly visualizer that is not intended to compete with professional visualizers, but to enable easy accessibility and platform independence. This demonstrates the excellent portability of iview. Moreover, based on the feature-rich version of iview, we have also developed a neat and tailor-made version specifically for our istar web platform for protein-ligand docking purpose. It supports four surface representations including Van der Waals surface, solvent excluded surface, solvent accessible surface and molecular surface.
It features three special effects in virtual reality settings, namely anaglyph, parallax barrier and oculus rift, resulting in visually appealing identification of intermolecular interactions. It exploits hardware acceleration rather than software rendering. We have developed iview, an easy-to-use interactive WebGL visualizer of protein-ligand complex. The vital feature of macromolecular surface construction is also unavailable. Most existing web visualizers either rely on slow software rendering, or lack virtual reality support. Visualization of protein-ligand complex plays an important role in elaborating protein-ligand interactions and aiding novel drug design.