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

The Pharma Data

We have fully equipped labs for all stages of drug discovery, including medicinal chemistry, cellular pharmacology, and molecular pharmacology, as well as an “ in silico ” lab for our computational chemistry, bioinformatics, and data mining activities.

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Reaching cruising altitude: New discovery tools to target RNA

Dark Matter Blog

Emblematic of Arrakis’ collaborative approach to science, almost all of the scientists in the lab—or, in the case of our colleagues in computational chemistry and biology, on their computers—at the time contributed to developing the PEARL-seq platform.

RNA 52
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What to expect from PEGS Europe 2023: Day 1

Drug Discovery World

Optimising drug properties This session will begin with chairperson’s remarks from Andreas Evers, PhD, Principal Scientist, Computational Chemistry & Biology, Global Research & Development Discovery Technology, Merck Healthcare KGaA. The presentations which follow include: Peter Tessier, PhD, Albert M.