<HashMap><database>biostudies-other</database><scores/><additional><omics_type>Unknown</omics_type><submitter>Zainab Ashimiyu-Abdusalam</submitter><journal>Bioinformatics</journal><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/MODEL2408070002</full_dataset_link><repository>biostudies-other</repository><additional_accession>10.1101/2023.12.28.573531</additional_accession><pubmed_authors>Dhanshree Arora</pubmed_authors><pubmed_authors>Zainab Ashimiyu-Abdusalam</pubmed_authors></additional><is_claimable>false</is_claimable><name>Swanson2023 - ADMET-AI: To evaluate the pharmacokinetics property of large-scale chemical libraries</name><description>&lt;p> A framework based on ensemble of five Chemprop-RDKit models, for fast batch prediction of ADMET properties of small molecules.&lt;/p>&lt;p>&lt;normal>Model Type:&lt;/normal> Predictive machine learning model.&lt;br>&lt;normal>Model Relevance:&lt;/normal> Fast batch prediction for ADMET properties &lt;br>&lt;normal>Model Encoded by:&lt;/normal>  Dhanshree (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/eos7d58">https://github.com/ersilia-os/eos7d58&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>2024-08-07T00:00:00Z</release><modification>2025-07-14T17:00:08.871Z</modification><creation>2025-03-31T13:27:56.263Z</creation></dates><accession>MODEL2408070002</accession><cross_references><mcro>MCRO:0000026</mcro><edam>topic_3336</edam><edam>topic_0154</edam><edam>topic_3474</edam><go>GO:1904480</go><efo>EFO:0020927</efo><unknown>OBA_0000105</unknown><unknown>eos7d58</unknown><unknown>admet_ai</unknown><unknown>chemprop</unknown><bao>0010193</bao><bao>0002130</bao><bao>0000009</bao><bao>0002305</bao><bao>0003041</bao><bao>0002117</bao><bao>0002775</bao><bao>0002499</bao><bao>0002256</bao><stato>STATO:0000274</stato><stato>STATO:0000564</stato><stato>STATO:0000037</stato><stato>STATO:0000201</stato><stato>STATO:0000415</stato><stato>STATO:0000031</stato><pubmed>38234753</pubmed><ncit>C26633</ncit><ncit>NCIT:C123937</ncit><ncit>NCIT:C17273</ncit><ncit>NCIT:C191645</ncit><ncit>NCIT:C176258</ncit><ncit>NCIT:C111373</ncit><ncit>NCIT:C14081</ncit><ncit>NCIT:C121777</ncit><ncit>C154407</ncit><ncit>NCIT:C27955</ncit><ncit>NCIT:C84427</ncit><ncit>NCIT:C92492</ncit><ncit>C17888</ncit><ncit>NCIT:C79372</ncit><ncit>NCIT:C79371</ncit><ncit>NCIT:C18218</ncit><ncit>NCIT:C155915</ncit><ncit>NCIT:C176811</ncit><ncit>NCIT:C120266</ncit><ncit>NCIT:C17429</ncit><ncit>NCIT:C114948</ncit><ncit>NCIT:C53237</ncit><ncit>NCIT:C105741</ncit><ncit>NCIT:C79369</ncit><ncit>C27990</ncit><ncit>NCIT:C17063</ncit><ncit>C15299</ncit><ncit>NCIT:C199688</ncit><ncit>NCIT:C70913</ncit><ncit>C79370</ncit><ncit>NCIT:C34077</ncit><ncit>NCIT:C13194</ncit><ncit>NCIT:C155923</ncit><ncit>NCIT:C70916</ncit><ncit>NCIT:C15492</ncit><ncit>NCIT:C16309</ncit><ncit>NCIT:C16307</ncit><ncit>C45329</ncit><ncit>NCIT:C18126</ncit><cheminf>CHEMINF:000431</cheminf><cheminf>CHEMINF:001516</cheminf><cheminf>CHEMINF:000018</cheminf><cheminf>CHEMINF:001513</cheminf><cheminf>CHEMINF:000152</cheminf><mi>MI:2025</mi><mi>MI:2047</mi><mi>MI:2116</mi><mi>MI:2138</mi><mi>MI:2139</mi><mi>MI:2136</mi><omit>OMIT:0028678</omit><omit>OMIT:0028701</omit><omit>OMIT:0028710</omit><omit>OMIT:0027994</omit><doi>10.1101/2023.12.28.573531</doi><doi>10.5281/zenodo.10372418</doi></cross_references></HashMap>