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Dataset . 2020
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Data sources: Datacite
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Dataset . 2020
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ZENODO
Dataset . 2020
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ZENODO
Dataset . 2020
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829 drug-like molecules intrinsic solubility dataset

Authors: Mario Lovrić; Kristina Pavlović; Roman Kern; Petar Žuvela; Bono Lučić; Ming Wah Wong; Adrian Spataru;

829 drug-like molecules intrinsic solubility dataset

Abstract

Data collection, curation as well as feature calculation are described in 10.26434/chemrxiv.12746948 Please cite the paper if you intend to use the data. descriptors.csv - File with SMILES index and descriptor data fingerprints.csv - File with SMILES index and fingerprints solubility_data.csv - File with SMILES index, splitting indices and target: logS0

There are no changes in the solubility data from Version 1.0. The filetype is changed to csv and two additional tables were added.

Keywords

smiles, cheminformatics, molecules, qsar, logS0, intrinsic solubility, drug discovery

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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