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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.
|| next >> It’s been ages since the last blog post. However, I do realize that many people only follow the blog for the April Fools posts so I’ll link them here for easy reference [ 2013 | 2015 | 2016 | 2017 | 2018 | 2019 ]. Martin and I wrote a short article which we uploaded to figshare and Martin also did a blog post.
> It’s been ages since my last COVID-19 post (How not to repurpose a 'drug') and I’ll kick blogging off for 2021 with a follow up to an even older post (SARS-CoV-2 main protease. Crowdsourcing, peptidomimetics and fragments).
A number of peptidomimetic Mpro inhibitors have been described in the literature and this blog post by Chris Southan may be of interest. It’s also worth mentioning that fragmentscreens have been run against SARS-CoV-2 Nsp3 macrodomain at UCSF and Diamond since there are no known inhibitors for this target.
We sampled several screening platforms in the course of our efforts, including fragmentscreening using ligand-observed nuclear magnetic resonance (NMR), DNA-encoded libraries (DEL), and SEC-MS. Each of these platforms is thoroughly vetted in protein world, but using them on RNA can yield surprising results.
The second virtual screen focused on optimization of a hit from a previous crystallographic fragmentscreen. Fragment-to-lead optimization was guided by searches in a library of millions of compounds combined with docking screens to select the best candidate. Journal of the American Chemical Society.
Paramin panorama Crystallographic fragmentscreens have been run recently against the main protease (at Diamond ) and the Nsp3 macrodomain (at UCSF and Diamond ) of SARS-Cov-2 and I thought that it might be of interest to take a closer look at why we screenfragments.
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