An online version of the Lilly reactivity & promiscuity filters

Recently Bruns & Watson published a paper describing a set of rules to filter out (potenially) reactive and promiscuous small molecules. There are 275 rules addressing a variety of possible reasons to reject a molecules: general reactivity, assay interference (such as flourescence), instability and so on. There filtering protocol also includes a set of explicit compounds specifically marked as interfering (even though they may have passed the structural rules). The authors have also made their code available on Github - it's C++ code and compiles easily on Unix systems. While it's quite straightforward to use, we've put up a simple web page where you can paste a collection of SMILES (which should include molecule titles) and retrieve a summary report (in HTML, plain text or Excel formats). You can also interact with the page via POST requests to An example of doing this in Python is shown below
import urllib, urllib2
format = 'text' # can be 'excel' or 'html'
url = ''
values = {'format':format, 'queryids':'''[NH2+](C(C)c1ccccc1)CCC(c1ccccc1)c1ccccc1       85273758
O(C(=O)C(C1CCCCC1)c1ccccc1)CC[NH+](CC)CC        85273739
O(C(c1ccccc1)c1ccccc1)CC[NH+](C)C       85273734
n1c(N)c(N=Nc2ccccc2)ccc1N       85273730
S(=O)(=O)(N1CC[NH+](CC1)CC(=O)Nc1c(n[nH]c1C)C)c1cc(OC)c(OC)cc1  85273684
S1(=O)(=O)CC([NH+](CC(=O)Nc2cc(cc(c2)C(OC)=O)C(OC)=O)C)CC1      85273683
FC(F)(F)c1ccc(NC(=O)C([NH+](CC(=O)N2CC[NH+](CC2)Cc2ccccc2)C)C)cc1       85273682'''}
data = urllib.urlencode(values)
req = urllib2.Request(url, data)
response = urllib2.urlopen(req)
page =
print page

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