SEURAT – Medicinal Chemistry
Lot preparation data
If a chemist wants to know about the preparation details
regarding one or more lots of a particular compound she has made she need only
turn to the “preps” quick search.
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A chemist only
needs to provide the compound id SEURAT does the rest
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SAR tables and matrices
SAR analyses can be initiated with the selection of a
compound in the Assay Display that will be used to generate a scaffold.
R-groups can be designated automatically by SEURAT, via selection of a bond or
by manual placement by the user.
Those compounds that have a match in the SAR analysis are
presented in tabular and matrix form.

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A familiar tabular
view of R-groups with a tab for non matching compound
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A more novel matrix
view with R1 down the rows and R2 across the columns. This visual makes
spotting gaps and identifying where properties (potency, solubility) are
conserved as one R-group changes
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A slider allows the user to zoom in and out (as shown) of
the matrix view to get both an overview of SAR as well as details of the
properties in each cell.
Hypothetical compound database
What to synthesize next is a question that many chemists
spend considerable time considering. SEURAT’s ability
to support the creation of a structure searchable hypothetical compound
database provides chemists with an easy place to compare the properties of a
hypothetical compounds with its most structurally similar (or dissimilar for
that matter) neighbor.
As a chemist draws SEURAT updates in real time Lipinski’s
properties to give instant feedback as to the likely effect of a change. As the
database grows other chemists dead ends or aborted ideas become visible (access
can be controlled) so that others don’t follow the same path without
considering the risks.
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The Small Molecule
Property Calculator (SMPC) tool is used to generate, browse and structure
search the hypothetical chemical space generated by your chemists as they
consider what to synthesize next
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A live update of properties takes place in the top panel as
a chemist draws. Models can be built (Lipinski for example) that can be used to
test a set of compounds en masse. Chemists can browse their own and others
ideas, structure search the whole set and add their own plans to this database.
Search functional group replacements
Using the results of the Synaptic Science disconnected MCS
algorithm SEURAT allows a chemist to search the most (or least) common
functional group replacements that took place over a set of compounds (the GVK kinase database was used at Celera).
