Predicting Absorption-Distribution Properties of Neuroprotective Phosphine-Borane Compounds Using In Silico Modeling and Machine Learning.

Remtulla, Raheem; Das, Sanjoy Kumar; Levin, Leonard A

Remtulla, Raheem; Das, Sanjoy Kumar; Levin, Leonard A.

Affiliation

Remtulla R; Department of Ophthalmology and Visual Sciences, McGill University, Montreal, QC H4H 3S5, Canada.
Das SK; Drug Discovery Core, Research Institute, McGill University Health Centre, Montreal, QC H4A 3J1, Canada.
Levin LA; Department of Ophthalmology and Visual Sciences, McGill University, Montreal, QC H4H 3S5, Canada.

Molecules ; 26(9)2021 Apr 25.

Article in En | MEDLINE | ID: mdl-33923006

Subject(s)

Boranes/chemistry; Machine Learning; Neuroprotective Agents/chemistry; Phosphines/chemistry; Blood-Brain Barrier/drug effects; Boranes/pharmacology; Computer Simulation; Humans; Neuroprotection/drug effects; Neuroprotective Agents/pharmacology; Phosphines/pharmacology; Protein Binding/drug effects

Key words

neural networks; neuroprotection; pharmacokinetics; phosphine-borane compounds

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Full text: 1 Database: MEDLINE Main subject: Phosphines / Boranes / Neuroprotective Agents / Machine Learning Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Year: 2021 Type: Article

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