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Software
for Chemical Structure
Understanding chemical behavior
of molecules through chemical
structures is an integral
part of drug discovery process.
However, chemical structure
drawing and application
of various computational
techniques are time-challenging.
Siri has capabilities to
develop software for chemical
structure drawing process.
Siri can help you unify
various data formats through
enhanced database interfaces.
We can also develop a number
of computational tools that
facilitate faster lead identification
and optimization.
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Chemical Nomenclature:
Our services help you
generate structures from
systemic and trivial names,
SMILES and Molecular Formula
and vise-versa. Siri could
also help you handle other
data formats with respective
to chemical structures .
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Database Interfaces:
Global pharmaceutical
R&D would need enhanced
database interface to chemical
information with access permission
controls. This would call
for centralized storage, intelligent
distribution across the network,
unification of various file
formats and user friendly
interfaces. Siri can help
you develop the following
solutions:
 Structure Drawing/Visualization/Editor:
This solution helps you
draw chemical structure,import
and view structures, customize visualization
and optimize data storage
Chemistry
Data Cartridge: This solution helps you
build and operate very large databases
based on Relational Chemical Gateway
data model.This sits between
the application APIs and centralized
data to enhance your data consistency,
accuracy and unify various data
formats
Browser
for Chemical Structure Databases:
This
solution helps you make complex
database
queries across your global network. This can
be empowered
with advanced query builder for structures, reactions, generate
reports and develop advanced
sorting options and cross
database identifier
look up
Computational
Tools
The
attrition in drug development
is very high - from several
thousand hits identified
to a single molecule released
into market. The much
quoted research facts
are that it takes $800
million to bring out a
drug to the market after
spending 10-12 years.
The advent of computational
techniques has accelerated
drug development at reduced
costs. However, Siri recognizes
the need to develop custom
computational tools to
enable faster in-silico
screening.
Siri’s
custom computational tools
are focused on deriving
most value out of your
combinatorial and traditional
chemistry towards lead
identification and lead
optimization processes.
Siri recognizes that the
solutions in these processes
are most critical to save
time and R&D budgets.
Siri has identified some
of the computational tools
that can be custom built
to suit the needs of the
clients.
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