Looking beyond statistics: How do I determine whether a QSAR model will add value to my project?
Good statistics don’t guarantee good applicability. Performance metrics will tell you how well a QSAR model predicts known data, but they don’t tell you whether it will add practical value…
Enhanced ADME predictions : New and improved models in StarDrop 8
All models are available in StarDrop’s ADME QSAR module: pKa– Most acidic pKa– Most basic pKa– All pKa valueslogP (Octanol/Water)logD7.4 (Octanol/buffer…
Counting what counts: Structural descriptors in StarDrop
In medicinal chemistry, it’s often the little things, like the subtle changes in a molecule’s structure, that make the difference.…
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…
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…
StarDrop vs LiveDesign: Finding the right collaboration platform for your medicinal chemistry team
The launch of StarDrop 8 adds powerful real-time collaboration to our medicinal chemistry toolkit for molecule design, optimisation and data…
How much does 3D molecular modelling software cost?
Introduction 3D molecular modelling plays a vital role in modern drug discovery, offering powerful applications to streamline research, reduce costs,…
What’s the impact of information silos in drug discovery?
What are information silos? The term is derived from agricultural usage where individual silos are used as stores for different…
Maximising the ROI of AI – A comprehensive evaluation of Cerella for drug discovery success
When evaluating any new technology, it is important to establish how you will validate whether it will deliver a return…
How can I run a successful virtual screen?
Virtual screening is often powerful because it is fast (i.e., cheap) and can give new insights into your project much…
Machine learning 101: How to build your first neural network
What are neural networks? Neural networks (NNs) in various forms are very common nowadays, and specific architectures are used for…
Which ADMET properties are important for me to predict?
How can I predict my compound’s absorption? The first of the ADMET properties relate to absorption. Understanding how a drug…
Machine Learning 101: How to train your first QSAR model
My hope is that these posts will be of interest to people who want to understand more of the nuts…
How does StarDrop compare to Semeta?
What are StarDrop and Semeta? Semeta is a tailored platform for DMPK scientists. It enables users to address key challenges…
How do I know if Optibrium’s predictive models work?
Data curation for model building A model can only be as good as the data it has been trained on.…
What’s the importance of cytochrome P450 metabolism?
Why focus on cytochrome P450 enzymes? CYPs are a ubiquitous superfamily of heme-containing monooxygenases responsible for approximately 70–80% of observed…
What other software does StarDrop integrate with?
StarDrop — A Swiss Army knife for drug discovery It’s designed to fit right in with the other tools you…
