Hello everybody,

i have a dataset where i know (form a clustering) which compounds are in which 
cluster.

For example Cluster 55: With 16 Compounds.

Now i want to start a similarity search on each compound in this cluster with 
babel. I will do this with tanimoto 0.7, 0.8 and 0.85 to look for which 
tanimoto i get the best results.

The best result would be that i find with one compound all other 15 compound 
from this cluster.

After i have done this i see that my results are very bad. So i want to change 
the fingerprint. In my first round i use the standard FP2 fingerprint.

The results for FP3, FP4 oder MACCS are the same. Why is this so? Need i to 
specify something in the txt-files? 

My cooperation partner in this projekt uses pipeline pilot with ECFP4. Is there 
a way to use this fingerprint with babel?

With best,

Jochen
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