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Molli: Interactive Visualization for Exploratory Protein Analysis
Sept.-Oct. 2012 (vol. 32 no. 5)
pp. 62-69
Many programs have been designed to view the 3D structures of protein molecules in 2D. However, three types of linked information haven't been previously defined in a systematic way that highlights the interface design challenge. Specifically, a scientist must have sequence, structure, and homology information in working memory to manipulate and understand a protein structure or related protein structures. Categorizing information types enables the application of classical interaction principles to the design of an intuitive interface for both expert and novice users. In a comparative user evaluation, their Molli system enhances the exploratory process of manipulating proteins of varying complexity by preserving the underlying data's linkages and relations.
Index Terms:
Proteins,Three dimensional displays,Solid modeling,Rendering (computer graphics),Data visualization,Biological system modeling,multiple structure alignment,Proteins,Three dimensional displays,Solid modeling,Rendering (computer graphics),Data visualization,Biological system modeling,homology,protein structure,protein visualization,coordinated views
Citation:
Sara Su, C. Gramazio, D. Extrum-Fernandez, C. Crumm, L. J. Cowen, M. Menke, M. Strait, "Molli: Interactive Visualization for Exploratory Protein Analysis," IEEE Computer Graphics and Applications, vol. 32, no. 5, pp. 62-69, Sept.-Oct. 2012, doi:10.1109/MCG.2012.66
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