<HashMap><database>biostudies-other</database><scores/><additional><omics_type>Unknown</omics_type><volume>27</volume><submitter>Zainab Ashimiyu-Abdusalam</submitter><journal>Bioorganic &amp; medicinal chemistry</journal><pagination>3110-3114</pagination><species>Homo sapiens</species><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/MODEL2404220003</full_dataset_link><repository>biostudies-other</repository><additional_accession>31176566</additional_accession><pubmed_authors>Zainab Ashimiyu-Abdusalam</pubmed_authors></additional><is_claimable>false</is_claimable><name>Sun2019 - Predictive models of aqueous solubility of organic compounds.</name><description>&lt;p>Kinetic aqueous solubility (μg/mL) was experimentally determined using the same SOP in over 200 NCATS drug discovery projects. A final dataset of 11780 non-redundant molecules and their associated solubility was used to train a SVM classifier.&lt;/p>&lt;p>&lt;normal>Model Type:&lt;/normal> Predictive machine learning model.&lt;br>&lt;normal>Model Relevance:&lt;/normal> Predicting the aqueous solubility of a chemical compound.&lt;br>&lt;normal>Model Encoded by:&lt;/normal> Pauline (Ersilia)&lt;br>&lt;normal>Metadata Submitted in BioModels by:&lt;/normal> Zainab Ashimiyu-Abdusalam&lt;/p>&lt;p>Implementation of this model code by &lt;a href="https://ersilia.io/">Ersilia&lt;/a> is available here: &lt;br>&lt;a href="https://github.com/ersilia-os/eos74bo">https://github.com/ersilia-os/eos74bo&lt;/a>&lt;/p>&lt;img src="https://www.ebi.ac.uk/biomodels/static-assets/images/ersilia-logo.png" alt="Ersilia Logo" width="150"></description><dates><release>2024-04-22T00:00:00Z</release><modification>2025-07-14T17:02:48.987Z</modification><creation>2025-03-31T13:25:31.154Z</creation></dates><accession>MODEL2404220003</accession><cross_references><bao>0000009</bao><bao>0002305</bao><bao>0000411</bao><bao>0002775</bao><stato>STATO:0000274</stato><stato>STATO:0000415</stato><stato>STATO:0000031</stato><pubmed>31176566</pubmed><ncit>NCIT:C78542</ncit><ncit>NCIT:C64364</ncit><ncit>NCIT:C16309</ncit><edam>topic_3336</edam><edam>topic_0154</edam><edam>topic_3474</edam><cheminf>CHEMINF:000018</cheminf><pato>PATO:0001538</pato><pato>PATO:0001664</pato><pato>PATO:0001663</pato><taxonomy>9606</taxonomy><unknown>ncats-adme</unknown><unknown>1645848</unknown><unknown>chemprop</unknown><unknown>eos74bo</unknown><unknown>predictions</unknown></cross_references></HashMap>