What training and support can I expect as a StarDrop customer?
Set up for success with hands-on training sessions We start with dedicated training sessions where you and your team get…
How does your feedback shape new StarDrop features?
In the fast-paced world of drug discovery, your time is precious. You’re under pressure to design better compounds, do it…
Why does conformational flexibility matter in drug design?
What are conformational ensembles? A conformational ensemble is a collection of the different 3D shapes a molecule can adopt in…
Desktop vs cloud-based StarDrop: Which deployment option is right for me?
Desktop StarDrop Desktop StarDrop runs directly on your local Windows or Mac systems, operating within your existing IT infrastructure. For…
How do I assess similarities between molecules?
What is the similarity principle? The similarity principle is one of the key concepts in drug design. It implies that…
Optibrium partners with TalTech on EU-funded PhD programme to advance sustainable drug discovery
The research will focus on developing faster and more accurate methods for predicting drug metabolism. CAMBRIDGE, UK, 02 July 2025…
How can I predict toxicity in drug discovery?
The importance of predicting toxicity early in drug development Highlighting safety and toxicity early in the drug development process is…
Why don’t my QSAR models work?
Why QSAR models matter in drug discovery Before we start troubleshooting, let’s remember why we build and run these models…
Is it possible to create my own custom models and data processing algorithms within StarDrop?
Yes, StarDrop allows you to either create your own model/data-processing-algorithm or to integrate one from a third-party application into StarDrop…
Computational and experimental integration in modern cancer drug discovery: The synthetic lethality approach
Join us for a webinar featuring experts from IDEAYA Biosciences and CDD Vault as they explore how synthetic lethality is…
Rapid AI generation of optimised compound designs, guided by user interaction
Pairing AI with human expertise We present a novel AI compound optimisation system, designed to include human oversight as a…
AI is not magic: A scientist’s guide to cutting through the hype
Ground truth matters more than algorithm hype In drug discovery, we deal in imperfect data. Assays are noisy. Endpoints are…
Does AI remove bias in drug discovery?
Like all humans, drug discovery scientists suffer from inherent biases that influence our decision making. Our intuition can sometimes be…
Open-source drug discovery software: It’s free, right?
When are open-source drug discovery solutions a good fit? We should first clarify that when we’re speaking about open-source tools,…
Machine Learning 101: How to optimise hyperparameters
What are parameters in machine learning models? The regular (non-hyper) parameters of an ML model are the numbers that it…
How do StarDrop and LiveDesign compare?
No glove fits every hand perfectly—and it’s the same with software tools. There’s no one-size-fits-all solution when it comes to…
Will AI replace chemists?
ChatGPT can be great for the basics, but cannot replace expert human knowledge I’m going to quickly discount the most…
How can categorical models provide value in supporting compound prioritisation?
Introduction In early-stage drug discovery, medicinal chemists rely on predictive models to help guide which compounds to synthesise or test…
