Published December 15, 2020 | Version v1

Data sets for compound promiscuity analysis and predictions

  • 1. Department of Life Science Informatics, B-IT, LIMES Program Unit Chemical Biology and Medicinal Chemistry, Rheinische Friedrich-Wilhelms-Universität, Friedrich-Hirzebruch-Allee 6, D-53113 Bonn, Germany.

Description

Deposited are three data sets containing compounds with multi- or single-target activity, which were assembled from the PubChem BioAssay database for promiscuity predictions [1]. The design and composition of these data sets are described in the original publication [1] and a forthcoming data note detailing the deposition. A brief summary of the data structure is provided in the readme.txt file accompanying the data sets.

Files

readme.txt

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md5:95fd4116c6cf864be1e4f68353608bf4
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md5:6765dc341a0666ba7b25837a8993c685
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md5:a8d962edf06ceeda4922c0bda31a4d70
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md5:316960502483ec32132021a60161bfd0
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Additional details

References

  • [1] Feldmann, C.; Yonchev, D.; Bajorath, J. Analysis of Biological Screening Compounds with Single- or Multi-Target Activity via Diagnostic Machine Learning. Biomolecules 2020, 10, 1605.