2020
DOI: 10.1016/j.cag.2020.05.025
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Visual exploration of large normal mode spaces to study protein flexibility

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Cited by 8 publications
(2 citation statements)
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“…In 2020, ( Bedoucha et al, 2020 ), investigated protein function through an interactive visualization approach to reduce and explore the vast data space. This method enables the deduction of pertinent protein function by analyzing the dynamics of a single structure through protein tunneling analysis, taking into account combinations of normal modes that span the entire normal mode space.…”
Section: General Considerations On Visualization Of Complex Molecular...mentioning
confidence: 99%
“…In 2020, ( Bedoucha et al, 2020 ), investigated protein function through an interactive visualization approach to reduce and explore the vast data space. This method enables the deduction of pertinent protein function by analyzing the dynamics of a single structure through protein tunneling analysis, taking into account combinations of normal modes that span the entire normal mode space.…”
Section: General Considerations On Visualization Of Complex Molecular...mentioning
confidence: 99%
“…Consequently, we accepted the six papers that are now collected in this special section. The section includes a survey on medical animation, covering applications in medical education, diagnosis, treatment planning and forensics [1] , one paper that proposes a novel approach for the visual exploration of large normal mode spaces to study protein flexibility [2] , one paper presenting a complete system for the data extraction and visual exploration of colon contents and morphological data [3] , and three visual analytics papers, addressing the exploration and analysis of pelvic organ variability in cohorts of patients undergoing radiotherapy [4] , the interactive exploration of metabolite signatures in MR spectroscopy studies [5] , and explainability in clinical decision support, inspired by decision making within clinical routine [6] .…”
Section: Computers and Graphicsmentioning
confidence: 99%