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Anyway, I used a method similar to the one described in this blog post , which exploits the AllChem.AssignBondOrdersFromTemplate method in the RDKit. Cluster the fragment structures Readers of this blog probably know about my fondness for Self-Organizing Maps (SOMs), which I wrote about here and here.
Trying to deal with the diverse hype of AI-based drug design in a single blog post is likely to send any blogger on a one-way trip to the funny farm so I’ll narrow the focus a bit. Specifically, I’ll be trying to understand the meaning of the term “AI-designed drug”.
First, structural alerts derived from analysis of screeninghits (defined as responses that exceed a threshold when assayed at a particular concentration) are not necessarily useful for assessing higher affinity compounds for which concentration responses have been determined.
Recent blog posts from Greg Landrum examined the impact of combining IC50 and Ki data from different assays. It is quite a bit more potent than the values one finds with screeninghits, which typically have IC50s in the single to double-digit µM range. 200nM is an odd choice for an activity cutoff.
The distinction between Type 1 and and Type 2 behaviors is an important and useful one to make from the perspective of drug discovery scientists who are making decisions as to which screeninghits to take forward. It's now time to examine what SYI has to to say and singlet oxygen is as good a place as any to start from.
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