title: Molli: interactive visualization for exploratory protein analysis.
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.
authors.forename: Sara
authors.initials: S
authors.lastname: Su
authors.forename: Connor
authors.initials: C
authors.lastname: Gramazio
authors.forename: Daniela
authors.initials: D
authors.lastname: Extrum-Fernandez
authors.forename: Caitlin
authors.initials: C
authors.lastname: Crumm
authors.forename: Lenore J
authors.initials: LJ
authors.lastname: Cowen
authors.forename: Matt
authors.initials: M
authors.lastname: Menke
authors.forename: Megan
authors.initials: M
authors.lastname: Strait
mesh_terms: D000465:Algorithms; D003196:Computer Graphics; D005260:Female; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008297:Male; D008958:Models, Molecular; D011506:Proteins / Q000737:chemistry*; D012984:Software; D014584:User-Computer Interface
chemical_list: D011506:Proteins