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

Practical Cheminformatics

Property Prediction Machine Learning Methods for Small Data Challenges in Molecular Science [link] Practical guidelines for the use of gradient boosting for molecular property prediction [link] Application of message passing neural networks for molecular property prediction [link] Molecular Similarity Molecular Similarity: Theory, Applications, and (..)

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Unlocking AI’s potential in drug discovery: A roadmap to scalable solutions

Drug Discovery World

This capability enables their use in various bioinformatics and cheminformatics applications, including predicting DNA regulatory elements and optimising drug properties. Dr Dogruel has a PhD in Bioinformatics from the University of Cambridge.

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Lead Pharma enters into a Research Collaboration and License Agreement with Roche to Develop Oral Small Molecules for Immune Mediated Diseases

The Pharma Data

R&D collaboration building on Lead Pharma’s expertise in the discovery, design and optimization of small molecule treatments. Lead Pharma may receive payments of up to €260 million plus royalties on sales. OSS, Netherlands , Nov. OSS, Netherlands , Nov.

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Reaching cruising altitude: New discovery tools to target RNA

Dark Matter Blog

The majority of small molecule drugs induce their therapeutic effects by seeking out and binding to their intended target while avoiding most other molecules in the dense milieu of the cell interior. Our overall mission at Arrakis is to expand the set of “druggable” targets for small-molecule medicines to include RNA.

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