SEURAT – Free Built-In Visualization
SEURAT has SpotFire™ like visualization capabilities that
can be launched from the Assay Display. The state of the visualizations suite
can then be saved at anytime (we call this a visualization snapshot) and those
saved snapshots can then be reapplied the next time you run your SEURAT job
against newly arrived data.
This is a powerful capability that allows you to build up a
set of visual models which test a hypothesis or call out a trend or correlation
in the data and then constantly re-test those models against the latest data as
it arrives.
1.1
Visualization Suite
Some example SEURAT visualizations are shown below.
1.1.1
Scatter Plots
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A simple scatter
plot of cMet assay results broken down by scaffold and color coded by
selectivity
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The main visualization in SEURAT is an initial scatter plot
from which any number of other visualizations (more scatter plots, heat maps,
box plots, matrices of box plots etc) can be added to the set of visualizations
being shown.
All such visualizations are linked for selection, dynamic
filtering and visual options of color, size, label and sort order meaning that
a change in one visualizations through the control panel is reflected in all
other visualizations simultaneously.
1.1.2
Control Panel
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All visualizations
are simultaneously dynamically filtered when the sliders are moved. Ki values
are automatically log scaled
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All visualizations
simultaneously reflect the selections in the visual panel giving six dimensions
of data through color, size, label, sort order, X and Y axes
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Each visualizations selected axes, axis rendering and
regression line depiction settings amongst other things can also be controlled
in the Control Panel’s Visual tab as shown above.
1.1.3
Heat Maps
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SEURAT heat map
where both columns and rows can be dragged and dropped to bring the hot spots
together. Then the zoom control used to inspect what it is about the
structure of those compounds that infers across drug likeness in the majority
of compound properties
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SEURAT box plots
can be used to compare the spread of data for a given property between
scaffolds for example.
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For a complete and detailed discussion of the Visualization
capabilities within SEURAT please see the SEURAT
Users Guide (you will need to contact us for a username and password to
access this protected file if you have not already done so).
1.2
Kinase Space
Visualizations
In addition to the standard visualizations described above
that can be applied to any result set SEURAT also provides two views
specifically into Kinase space.
1.2.1
Human Kinome Tree
Viewer
The Human Kinome Tree Viewer can
be used to determine at a glance the selectivity of your compounds in Kinase space and to compare your compounds selectivity to
that of known Kinase based drugs.
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Human Kinome Tree Viewer comparing the selectivity of CRA-03360
(red dots) to that of Gleevec (pink dots)
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Once selectivity is visualized at a high level as shown
particular areas of interest can be selected and zoomed into to determine which
Kinase the activity is against. Switching to the
Assay Data tab shows the underlying numeric values used to derive the visual.
The size of the plotted dots is directly proportional to the
potency of the activity against that Kinase. Boxes
are drawn for activity against mutated forms.
1.2.2
GVK Browser
Provides a tractable user interface to browse and structure
search the Kinaes database of data gleaned from all
publications relating to kinase space from GVK bio.
See www.gvkbio.com for more details about
the kinase database they provide.
The SEURAT GVK browser makes the data in the database
accessible to all users.
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How to launch,
search both text based and structure based and then browse the results of the
GVK Browser visualization
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Of course as this is a proprietary database it is not
shipped by default with SEURAT. If you company is interested in using the GVK Kinase Browser which implies purchasing a license to the
database from GVK then please contact us at sales@synapticscience.com
