Licensing


Stardrop can be licensed in a number of convenient ways and with a variety of optional plug-in modules to suit your needs.

StarDrop: Core Features 

StarDrop: Optional modules

StarDrop comes with a range of optional plug-in modules that help you to explore and manage your data

ADME QSAR
Predict key
properties
prior
to synthesis


more
Auto-Modeller
Analyse data
and produce
predictive
models


more
Derek Nexus
Knowledge-
based
toxicity
prediction


more
Nova
A new
generation of
possibilites



more
BIOSTER
A world of
chemistry
experience



more
P450
Quantum
mechanical
simulation of
drug metabolism


more
torch3D
Understand
and apply
3D SAR



more
SeeSAR
3D Structure-
based
design



more
MPO Explorer
Develop
multi-parameter
optimisation
strategies


more

License types


Site licenses

A site license will allow you to install StarDrop on an unlimited number of computers throughout a single site, regardless of size.

Floating licenses

Floating licenses will allow you to install StarDrop on an unlimited number of computers throughout a single site. However, the number of simultaneous active users is controlled by the floating license options you choose.

Every time a user starts StarDrop it will hold one of the available licenses and only release it once the user closes StarDrop. If a user tries to start StarDrop when no licenses are available it will start in 'viewer' mode enabling the user to view previously created files, but not edit/save new ones.

Fixed licenses

A fixed license allows StarDrop to be installed by an individual user on a single computer.

Any combination of optional modules can be chosen with any of the licensing approaches. If you wish to connect your own predictive models to StarDrop using the StarDrop model server it is not a requirement that you license the ADME QSAR Module for which the server is typically made available.

Pricing


If you would like a quote for any combination of licensing options and optional modules, please contact us. We offer significant discounts for academic and not-for-profit organisations.

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