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,…
Introduction 3D molecular modelling plays a vital role in modern drug discovery, offering powerful applications to streamline research, reduce costs,…
What value does AI offer in drug discovery? The potential is huge: To learn more about the value we’re seeing…
ChatGPT can be great for the basics, but cannot replace expert human knowledge I’m going to quickly discount the most…
Introduction In early-stage drug discovery, medicinal chemists rely on predictive models to help guide which compounds to synthesise or test…
Defining value is the best place to start Before diving into the specifics of testing AI’s value, the first step…
When evaluating any new technology, it is important to establish how you will validate whether it will deliver a return…
Imagine you’re trying to find the correct key to unlock a treasure box, but there are billions of keys to…
What are neural networks? Neural networks (NNs) in various forms are very common nowadays, and specific architectures are used for…
Which AI platform do you need? The first thing you’ll need to do is decide what you need to achieve…
Benefits of continuous integration to use up-to-date data in model building Cerella has the ability to work with and learn…
Is AI-guided drug discovery faster and cheaper? The evidence for this is, by definition, anecdotal. No one runs the same…
The role of generative chemistry in drug discovery A key difficulty in finding new drugs is the sheer size of…
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.
In this ebook, you’ll discover the key considerations which every leader needs to take in order to successfully implement AI in their drug discovery pipelines.
The Chemical Information & Computer Applications Group (CICAG) and Biological & Medicinal Chemistry Sector (BMCS) of the Royal Society of Chemistry are once again organising a conference to present the current advances in AI and machine learning in Chemistry.
In this ebook we demonstrate our deployable AI discovery platform, Cerella™. Browse real-world stories of success from our collaborations with AstraZeneca, Genetech, Takeda Pharmaceuticals, Constellation Pharmaceuticals and many more.