New Machine Learning Models for Predicting the Organic Cation Transporters OCT1, OCT2, and OCT3 Uptake.
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| Title: | New Machine Learning Models for Predicting the Organic Cation Transporters OCT1, OCT2, and OCT3 Uptake. |
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| Authors: | Bocci G; Recursion, The HKX Building, 3 Pancras Square, London N1C 4AG, U.K., Mathai N; Exscientia, Oxford OX4 4GE, U.K., Suutari B; Exscientia, Oxford OX4 4GE, U.K., Harrison J; Recursion, The HKX Building, 3 Pancras Square, London N1C 4AG, U.K., Speichert S; Recursion, The HKX Building, 3 Pancras Square, London N1C 4AG, U.K., Gooyit M; Recursion, The HKX Building, 3 Pancras Square, London N1C 4AG, U.K., Pires DEV; Exscientia, Oxford OX4 4GE, U.K., Overington JP; Drug Hunter Inc., 111 SW Ave #3150, Portland, Oregon 97204, United States. |
| Source: | ACS omega [ACS Omega] 2025 Sep 19; Vol. 10 (38), pp. 44190-44200. Date of Electronic Publication: 2025 Sep 19 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: American Chemical Society Country of Publication: United States NLM ID: 101691658 Publication Model: eCollection Cited Medium: Internet ISSN: 2470-1343 (Electronic) Linking ISSN: 24701343 NLM ISO Abbreviation: ACS Omega Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 2470-1343 |
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| DOI: | 10.1021/acsomega.5c05605 |
