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How the AI revolution can accelerate early drug discovery

Drug Target Review

Training AI/ML tools to predict results of otherwise complex and time-consuming calculations is gaining traction in pharmaceutical R&D. To really benefit from AI, the pharmaceutical industry must be more open to data sharing. He has published 22 scientific articles and has a h-index of 13. Matthew is a chartered chemist.

Drugs 105
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Efficient trajectories

Molecular Design

I'll examine an article entitled ‘Mapping the Efficiency and Physicochemical Trajectories of Successful Optimizations’ (YL2018) in this post and I should note that the article title reminded me that abseiling has been described as the second fastest way down the mountain.

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AI in Drug Discovery 2023 - A Highly Opinionated Literature Review (Part I)

Practical Cheminformatics

Review articles 2023 was a bit of a mixed bag for AI in drug discovery. Prospective Validation of Machine Learning Algorithms for Absorption, Distribution, Metabolism, and Excretion Prediction: An Industrial Perspective [link] One of my favorite papers of 2023 provided a tour de force in method comparison.

Drugs 144