How can I make the most of my predictive models for drug discovery?
What’s the purpose of a predictive model? What’s the value of predictive models for drug discovery? Most of the undergraduate…

What’s the purpose of a predictive model? What’s the value of predictive models for drug discovery? Most of the undergraduate…

The role of generative chemistry in drug discovery A key difficulty in finding new drugs is the sheer size of…

Learn how to evaluate StarDrop with this step-by-step guide from Optibrium. Discover key features, trial objectives, and how to set up a successful evaluation of this powerful drug discovery platform

Discover which metabolite prediction software is best for your needs in this comprehensive guide from Optibrium. Compare top tools like Meteor Nexus, MetaSite, and StarDrop to make informed decisions for drug metabolism prediction

We’re often asked, “What’s the difference between QSAR and imputation models?”, so I’m going to explain how the methods differ, their advantages and disadvantages, and when each approach is applicable.

How number of users affect drug discovery software costs The number of people who need access to the platform is…

We recently published a case study with Amazon Web Services, detailing how we were able to scale our StarDrop platform…

Peer-reviewed study published in Xenobiotica describes an innovative new method that predicts the routes and products of Phase I and II metabolism with high sensitivity and greater precision than
other approaches

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.
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.
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.
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.