The DREAM consortium has run a number of predictive modeling challenges and the latest one on predicting small molecule synergies has just been published. The dataset that was provided included baseline gene expression of the cell line (OCI-LY3), expression in presence of compound (2 concentrations, 2 time points), dose response data for 14 compounds and […]
Metabolite Similarity & Dirty Compounds
Edit 10/9/14 – Updated statistics for the 1024 bit fingerprints There’s been some discussion about a paper by O’Hagan et al that have proposed a Rule of 0.5 that states that 90% of approved drugs exhibit a Tanimoto similarity > 0.5 to one or more human metabolites. Their analysis is based on metabolites listed in […]
Ranking Dose Response Curves
UPDATE (3/21) – I was contacted by the author of the paper who pointed out that my analysis was based on a misunderstanding of the paper. Specifically The primary goal of WES is to identify actives – and according to the authors definition, the most interesting actives (that should be ranked highly) are those that […]
Learning Representations – Digits, Cats and Now Molecules
Deep learning has been getting some press in the last few months, especially with the Google paper on recognizing cats (amongst other things) from Youtube videos. The concepts underlying this machine learning approach have been around for many years, though recent work by Hinton and others have led to fast implementations of the algorithms as […]
Another Oracle Structure Search Cartridge
I came across an ASAP paper today describing substructure searching in Oracle databases. The paper comes from the folks at J & J and is part of their series of papers on the ABCD platform. Performing substructure searches in databases is certainly not a new topic and various products are out there that support this […]