Hi all, after repeated questions from various people around asking about some educational thingy on cheminformatics, and now that I have two students I want to educate, I am starting a cheminformatics journal club, as it is nicely called... we'll discuss cheminformatics literature biweekly. No worries if you skip or meeting or so, but when you join, you *must* have read the paper. Additionally, it is expected that you attempted to understand the paper, by looking up cited references and methods. That said, you are not expected to spend a week of literature mining on the paper (depending on the topic and your backgroun, a day or two at most will do); instead, you are required to form an opinion on the paper. Preferably, those opinions are written down before the meeting, to force you to actually formulate them. During a meeting, we'll discuss the paper then, identifying strong and week points of the paper, and one of us (rotating) will make notes, and write up a (public, OA) review on the paper based on our discussion. Everyone is invited to join in. Please do let me know which dates you will attend. Meetings are from 10-11 am. * Thu, 11/2: Towards pharmacogenomics knowledge discovery with the semantic web, doi:10.1093/bib/bbn056 * Thu, 25/2: Small Molecule Subgraph Detector (SMSD) toolkit, doi:10.1186/1758-2946-1-12 * Thu, 11/3: Virtual screening of bioassay data, doi:10.1186/1758-2946-1-21 As you see, the list is a mix of various subfields of molecular chemometrics: the first is around knowledge management (RDF), the second around chemical graph theory, and the last about statistics (Bayes, SVM, RF). This covers about the three pillars of current cheminformatics research.
Update: fixed link.