Project GROPEHaptic displays for scientific visualization
SIGGRAPH '90 Proceedings of the 17th annual conference on Computer graphics and interactive techniques
Stalk: An Interactive System for Virtual Molecular Docking
IEEE Computational Science & Engineering
Pseudo-Haptic Feedback: Can Isometric Input Devices Simulate Force Feedback?
VR '00 Proceedings of the IEEE Virtual Reality 2000 Conference
Multi-Modal Perceptualization of Volumetric Data and Its Application to Molecular Docking
WHC '05 Proceedings of the First Joint Eurohaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems
An overview of auditory display to assist comprehension of molecular information
Interacting with Computers
User needs analysis to design a 3D multimodal protein-docking interface
3DUI '08 Proceedings of the 2008 IEEE Symposium on 3D User Interfaces
Supervision of task-oriented multimodal rendering for VR applications
EGVE'07 Proceedings of the 13th Eurographics conference on Virtual Environments
A New Approach to Design an Interactive System for Molecular Analysis
Proceedings of the 13th International Conference on Human-Computer Interaction. Part IV: Interacting in Various Application Domains
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Protein-Protein docking is a recent practice in biological research which involves using 3D models of proteins to predict the structure of complexes formed by these proteins. Currently, the most common methods used for docking are fully computational approaches, combined with molecular visualization tools. However, these approaches are time consuming and provide a large number of potential solutions. Our basic hypothesis is that Virtual Reality (VR) interactions can combine the benefits of multimodal rendering, biologist's expertise in the field of docking with automated algorithms, in order to increase efficiency in reaching docking solutions. To this end, we have designed an immersive and multimodal application for molecular docking. Visual, audio and haptic feedbacks are combined to communicate biological information, help manipulating proteins and exploring possible solutions of docking. Multimodal distribution is supervised by a rule-based software module, depending on the interaction context.