Title :
Molli: Interactive Visualization for Exploratory Protein Analysis
Author :
Su, Shih-Tang ; Gramazio, C. ; Extrum-Fernandez, D. ; Crumm, C. ; Cowen, Lenore J. ; Menke, M. ; Strait, Megan
Abstract :
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.
Keywords :
biology computing; data visualisation; interactive systems; proteins; 3D structures; Molli; exploratory protein analysis; homology information; interaction principles; interactive visualization; interface design; protein molecules; protein structure; Biological system modeling; Data visualization; Proteins; Rendering (computer graphics); Solid modeling; Three dimensional displays; Biological system modeling; Data visualization; Proteins; Rendering (computer graphics); Solid modeling; Three dimensional displays; coordinated views; homology; multiple structure alignment; protein structure; protein visualization;
Journal_Title :
Computer Graphics and Applications, IEEE
DOI :
10.1109/MCG.2012.66