Published November 17, 2025 | Version v1

Polypharmacology Browser PPB3: A Web-based Deep Learning Tool for Target Prediction Using ChEMBL Data

Authors/Creators

  • 1. ROR icon University of Bern

Contributors

Researcher:

Description

Polypharmacology Browser 3 (PPB3) uses deep learning techniques, specifically deep neural network (DNN) models and it takes the SMILES representation of the compounds as an input and predicts top 20 targets that are ranked based on the prediction confidence score. Herein, we present our seven DNN models freely accessible for target prediction purposes.

Files

DNNTARLABELS_2nd.txt

Files (851.0 MB)

Name Size
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100.6 MB Download
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103.2 kB Preview Download
md5:e092e919346bc2c3abb2aa64e7ba6f69
89.6 MB Download
md5:f7403df0f5cf8fe871a2fcb7ff2d6afd
100.6 MB Download
md5:d9b66d427b2eca256beb3efbbaf86b64
100.6 MB Download
md5:44864c6634af81eacb50c8531823a2ea
7.1 MB Download
md5:84c00d0077f345183414a2bc16362c0f
149.7 MB Download
md5:1f09e1a78555629c2f01ba332fbb746f
100.6 MB Download
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100.6 MB Download
md5:945544a6958e9a15fe95e14681ca3734
100.6 MB Download
md5:81fa5ff707767ce5892df06086d2f581
739.1 kB Preview Download
md5:26fab30fb1e7cf59bb7d69ddbda91774
295.1 kB Preview Download

Additional details

Dates

Submitted
2025-08-31