The ChEMBL-og

One of the immediate consequences of refactoring our webservices using Django , Tastypie and related approaches (as described here ) is that we can run them on almost any database backend. Django abstracts communication with database and using custom QueryManagers we were able to implement chemisty-specific opererations, such as substructure and similarity search in a database agnostic manner. This means, that if we want, we can use only Open Source components (such as Postgres and RDKit ), or elect to use optimised commercially sourced software as appropriate. However, what if we go one step further and try to use Open Hardware as well? This is exactly what we've just done! We managed to install full ChEMBL 17 on raspbery pi . Some frequently asked questions (at lease those that have been asked internally) and technical details are below: 1. How much space does it take? 12 Gb, including OS, data and all relevant software. Unfortunately we a used 32 Gb SD card so this...

We have a talk entered for DjangoCon Europe 2013 - and there is a vote underway for this - the title of the talk you may wish to vote for is " Do you feel the chemistry? Developing scientific applications with Django. " which is, you probably agree, a pretty interesting subject. You will need a github account to vote - but being hip cats you'll have one already. I must point out that this post has nothing to do with the smash-hit block-buster film Django Unchained from the superstar director Quentin Tarantino (but search engines may well be too stupid to realised this and bump the rank of this post). Update: Voting is now closed. jpo