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2017 ; 9
(ä): 11
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The polypharmacology browser: a web-based multi-fingerprint target prediction
tool using ChEMBL bioactivity data
#MMPMID28270862
Awale M
; Reymond JL
J Cheminform
2017[]; 9
(ä): 11
PMID28270862
show ga
BACKGROUND: Several web-based tools have been reported recently which predict the
possible targets of a small molecule by similarity to compounds of known
bioactivity using molecular fingerprints (fps), however predictions in each case
rely on similarities computed from only one or two fps. Considering that
structural similarity and therefore the predicted targets strongly depend on the
method used for comparison, it would be highly desirable to predict targets using
a broader set of fps simultaneously. RESULTS: Herein, we present the
polypharmacology browser (PPB), a web-based platform which predicts possible
targets for small molecules by searching for nearest neighbors using ten
different fps describing composition, substructures, molecular shape and
pharmacophores. PPB searches through 4613 groups of at least 10 same target
annotated bioactive molecules from ChEMBL and returns a list of predicted targets
ranked by consensus voting scheme and p value. A validation study across 670
drugs with up to 20 targets showed that combining the predictions from all 10 fps
gives the best results, with on average 50% of the known targets of a drug being
correctly predicted with a hit rate of 25%. Furthermore, when profiling a new
inhibitor of the calcium channel TRPV6 against 24 targets taken from a safety
screen panel, we observed inhibition in 5 out of 5 targets predicted by PPB and
in 7 out of 18 targets not predicted by PPB. The rate of correct (5/12) and
incorrect (0/12) predictions for this compound by PPB was comparable to that of
other web-based prediction tools. CONCLUSION: PPB offers a versatile platform for
target prediction based on multi-fingerprint comparisons, and is freely
accessible at www.gdb.unibe.ch as a valuable support for drug discovery.Graphical
abstract.