2019
DOI: 10.1109/tvcg.2019.2934333
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Multiscale Visual Drilldown for the Analysis of Large Ensembles of Multi-Body Protein Complexes

Abstract: Fig. 1. Exploration of an ensemble of 500 possible human nucleosome configurations, based on the following components: a) Overview Graph with main application controls; b) 3D View, showing the exploded Complex Configuration, amino acids from contact interfaces are colored according to the frequency of their interactions; c) Property View, showing properties of all Complex Configurations; d) Protein View with range filter panel; e) Residue Matrix, which also can be switched to Contact Zone List View, and f) Fil… Show more

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Cited by 3 publications
(1 citation statement)
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“…Such techniques can allow users to reveal different levels of detail on‐demand [AKCL19], incorporate focus+context techniques, as in the CLISD view of protein‐ligand interactions by Schatz et al [SFS*21], allow filtering of subsets of trajectories [JFB*19], and allow users to jump to different parts of the simulation timeline [DHR*18]. Visual abstraction of the hierarchical structure of molecules may also be exploited for the analysis of different configurations of protein complexes [FJK*19]. Many works visualize 3D molecular structures alongside interaction energies and other important molecular parameters.…”
Section: Molecular Functionmentioning
confidence: 99%
“…Such techniques can allow users to reveal different levels of detail on‐demand [AKCL19], incorporate focus+context techniques, as in the CLISD view of protein‐ligand interactions by Schatz et al [SFS*21], allow filtering of subsets of trajectories [JFB*19], and allow users to jump to different parts of the simulation timeline [DHR*18]. Visual abstraction of the hierarchical structure of molecules may also be exploited for the analysis of different configurations of protein complexes [FJK*19]. Many works visualize 3D molecular structures alongside interaction energies and other important molecular parameters.…”
Section: Molecular Functionmentioning
confidence: 99%