Fabulous blog post from Greg Landrum, Includes a tutorial on installing PostgreSQL and the cartridge with conda. This post shows how to use the RDKit
Category: Hints and Tutorials
Tutorials, Hints, Tips and Tricks
I published a page describing a Vortex script for category analysis that I wrote a while back but I thought I’d mention it because I’m
Clustering is an invaluable cheminformatics technique for subdividing a typically large compound collection into small groups of similar compounds. One of the advantages is that
The publication describing lwreg is now available. Here, we present lwreg, a lightweight, yet flexible chemical registration system supporting the capture of both two-dimensional molecular
An interesting alternative to hash-based folding on arXiv. https://arxiv.org/abs/2403.17954 Code is on GitHub https://github.com/MarkusFerdinandDablander/ECFP-substructure-pooling-Sort-and-Slice
This looks very useful for anyone having to process multiple molecules, I particularly like the error processing! The open-source package scikit-learn provides various machine learning
tmap is a very fast visualisation library for large, high-dimensional data sets. It was published in 2020 DOI and the code is available on GitHub
I’m sometimes asked for a tool to compare the similarity of a list of molecules with every other molecule in the list. I suspect there
(1) Added TeraChem support last week, meaning you can now run GPU-accelerated DFT calculations. (Read more about TeraChem + Rowan here.) (2) Rowan now has tautomer + conformer
Another tutorial from Greg Landrum, focussing on how to take advantage of modern multithreaded CPUs. https://greglandrum.github.io/rdkit-blog/posts/2024-02-11-more-multithreading.html Looking at Generating fingerprints, Molecular standardization, Conformer generation, RMSD