Visual Analytics for Protein Folding
PROTERAN: Analyzing Protein Folds Using Animated Terrains
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In the field of bio-informatics, the analysis ofvoluminous data is becoming increasingly crucial tounderstanding the underlying biology and answeringimportant questions. Clustering techniques often incombination with visualization techniques areextensively used, say, to find the functions ofunknown genes through pattern detection and analysis.Similar to clustering of gene expression data isthat of clustering the characteristics of proteinfolding dynamics. The mechanism of protein foldingremains largely a mystery. Currently, proteinfolding dynamics is often characterized bycalculating the free ...
In the field of bio-informatics, the analysis of
voluminous data is becoming increasingly crucial to
understanding the underlying biology and answering
important questions. Clustering techniques often in
combination with visualization techniques are
extensively used, say, to find the functions of
unknown genes through pattern detection and analysis.
Similar to clustering of gene expression data is
that of clustering the characteristics of protein
folding dynamics. The mechanism of protein folding
remains largely a mystery. Currently, protein
folding dynamics is often characterized by
calculating the free energy landscape versus various
reaction coordinates such as the fraction of native
contacts, the radius of gyration and so on. We
present the development of a visual analytics tool,
PROTERAN, which enables one to view the changing
landscape of major protein fold states through the
metaphor of animated terrains. PROTERAN promotes the
use of an integrated approach towards understanding
the folding process via interactive visual analysis
of patterns of these reaction coordinates.
voluminous data is becoming increasingly crucial to
understanding the underlying biology and answering
important questions. Clustering techniques often in
combination with visualization techniques are
extensively used, say, to find the functions of
unknown genes through pattern detection and analysis.
Similar to clustering of gene expression data is
that of clustering the characteristics of protein
folding dynamics. The mechanism of protein folding
remains largely a mystery. Currently, protein
folding dynamics is often characterized by
calculating the free energy landscape versus various
reaction coordinates such as the fraction of native
contacts, the radius of gyration and so on. We
present the development of a visual analytics tool,
PROTERAN, which enables one to view the changing
landscape of major protein fold states through the
metaphor of animated terrains. PROTERAN promotes the
use of an integrated approach towards understanding
the folding process via interactive visual analysis
of patterns of these reaction coordinates.
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