Machine Learning 101: How to optimise hyperparameters
What are parameters in machine learning models? The regular (non-hyper) parameters of an ML model are the numbers that it…
Summary
To compare chemical structures, we can look at a number of 2D and 3D characteristics. In this paper, a group of 358 drugs with overlapping pharmacology were assessed for chemical similarity, using a new framework.
The method generates a chemical similarity score for new molecules based on a known set of molecules with a shared effect. For prediction of primary targets, the benefit of 3D over 2D was relatively small, but for prediction of off-targets, the added benefit was large.
Citation details
Emmanuel R. Yera et al., J. Med. Chem. 2011, 54, 19, 6771–6785.
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