Video tutorials and quick tips

This short video provides an orientation for StarDrop and Semeta users at organisations that are subscribing to Optibrium’s hosted services.…

In this quick example, we will look at a single-scaffold R-group analysis to identify any functionalities which are influencing potency. The data…

Want to accelerate your drug discovery with collaborative design and informed decision making? Watch our introduction to Idea Tracker, an…

The Metabolism module enables you to accurately predict the major metabolic routes, sites, products and lability of Phase I and…

Using the 2D structure alignment tool in StarDrop, define a substructure to perform a rigid alignment of molecules in the data set.

When exploring chemistry space around a known hit or lead, you can use 3D virtual screening to identify new compounds…

The objective in this worked example is to identify new derivatives that are likely to improve activity at their target, given the SAR already generated on a project.

In StarDrop you can display heat maps for the properties contributing to an MPO score. We’ve extended this capability by…

Explore ways to use the Inspyra Panel, in combination with Matched Series Analysis (MSA).

This worked example uses Inspyra™ to interactively explore optimisation strategies to achieve a selective inhibitor of DPP-4 with appropriate physicochemical properties.

This short video gives an introduction to the Matched Pairs Neighbourhood tool in StarDrop’s Card View. If you are interested…

In this example, we are going to use the reaction-based library enumeration feature in StarDrop’s Nova module to generate a library of virtual compounds. This will be based on pre-defined sets of reagents that will be used to generate products using well-known reactions.

This worked example uses StarDrop’s Surflex eSim3D module to assess a small library of compounds for their similarity to known Heat Shock Protein 90 (HSP90) ligands. ideo archive.

In this example we will illustrate how knowledge-based predictions of toxicity can be used within a MPO environment to guide the selection and design of compounds with a good balance of properties and reduced risk of toxicity.

During this example we will consider three compounds from a lead series which we would like to try to evolve into a candidate. The compound has a good profile of ADME properties but insufficient inhibition of the target, the Serotonin transporter. In this example we will use StarDrop’s Nova module to generate new ideas for compounds to improve the potency while maintaining the balance of other properties.

In this example, using StarDrop’s R-group clipping tool, we will quickly transform chemical building blocks into their corresponding substituents, ready to enumerate a virtual library in StarDrop’s Nova module.

This worked example explores ways to assess and design compounds in 3D using the SeeSAR Pose module.

This worked example explores ways to assess the binding affinity of docked compounds.

In this example we will explore the feasibility of pursuing a fast-follower for Buspirone, a 5-HT1A ligand used as an anti-anxiolytic therapeutic, which has a known liability due to rapid metabolism by CYP3A4.