Nimbus Therapeutics’ Post

The researchers, from the University of Cambridge, designed and used an AI-based strategy to identify compounds that block the clumping, or aggregation, of alpha-synuclein, the protein that characterises Parkinson’s. The team used machine learning techniques to quickly screen a chemical library containing millions of entries, and identified five highly potent compounds for further investigation. Parkinson’s […] https://lnkd.in/dJGg9F6Q www.Cyprus-CEO.com #CEO #business #management #marketing #tech #AI #legal #money

Just finished an insightful article on AI developments in chemistry featured in the most recent C&EN. It has fueled my motivation to deepen my understanding of AI and its potential applications in chemistry. Check it out here: [Link to the article](https://lnkd.in/eixmKYPC) #AI #Chemistry #CEN #ArtificialIntelligence #ScienceResearch

The researchers, from the University of Cambridge, designed and used an AI-based strategy to identify compounds that block the clumping, or aggregation, of alpha-synuclein, the protein that characterises Parkinson’s. The team used machine learning techniques to quickly screen a chemical library containing millions of entries, and identified five highly potent compounds for further investigation. Parkinson’s […] https://lnkd.in/dJGg9F6Q www.Cyprus-CEO.com #CEO #business #management #marketing #tech #AI #legal #money

AI has been making waves in several industries this past year. Science and medicine are no exceptions Lately, artificial intelligence has ignited questions about proprietary data as it relates to drug discovery and development. What are your thoughts on this article? #AI #science #DrugDevelopment

https://lnkd.in/eg63F966 A pragmatic approach for implementation of AI in drug discovery will yield better results.

Why do I think that the deals between Isomorphic Labs, Eli Lilly and Company and Novartis are really exciting? Isomorphic Labs just announced a series of deals, with the 2 Big Pharmas, worth up to $3Bi! 📌 Isomorphic Labs is the brain child of Google DeepMind's Demis Hassabis, and unlike many other #AI companies, they are at the forefront of AI research 📌 #alphafold is one of the most impressive application of AI in life sciences ... it makes my PhD in structural biology almost irrelevant 📌 Isomorphic Labs wants to apply their know-how to modeling Biology, which, IMHO, is the most exciting application of AI ever. #Biology is complex, and as i wrote in my last news-letter [link in the comment section 👇], it will lead to the end of scientific reductionism, which was a by-product of our inability to handle complexity and to integrate large quantity of #information (which AI is very good at 😎 📌 Interestingly Isomorphic Labs is starting with a use-case that is not "very sexy" - they will focus initially on #VirtualScreening and #MoleculeDesign ... but on "challenging targets". We can assume that Both Eli Lilly and Company and Novartis already tried more traditional approaches on those targets and most probably it failed; it will be very interesting to see what is different with Isomorphic Labs's approach https://lnkd.in/ejNK8jD6

Generative AI isn't restricted to text and image generation AlphaFold, a GenAI tool developed by DeepMind, is being used to discover thousands of new psychedelic molecules used on antidepressant drug development. AlphaFold was able to match the proportion of true matches when compared conventional experimental drug discovery methods, like X-ray crystallography. Not only was AlphaFold able to do it at a fraction of the time, but it also predicted completely different structures. GenAI is able to create much more than texts and images, which begs the question: What will it bring next? Songs, recipes, products, architectural projects? https://lnkd.in/dvs9Hrn4

This is a blog by our AI&A practice and their LS department on "The potential of Gen AI in drug discovery and clinical trials.

🔬AI's Impact on Drug Discovery Traditional drug discovery can be a long and expensive process, with low success rates. Advanced machine learning is transforming the field. By analyzing extensive biological and clinical data, it predicts drug interactions, adverse effects, and uncovers repurposing opportunities. Read more on these advancements!

1. Quantum AI: a new era for drug discovery?  2. A new frontier for drug discovery;  3. Making quantum AI drug discovery work for all;