Innovative Strategies for the Quantitative Modeling of Blood-Brain Barrier (BBB) Permeability: Harnessing the Power of Machine Learning-based q-RASAR Approach
期刊:Molecular Systems Design and Engineering [The Royal Society of Chemistry] 日期:2024-01-01卷期号:9 (7): 729-743
标识
DOI:10.1039/d4me00056k
摘要
A machine learning (ML)-based q-RASAR PLS regression model has been developed for blood–brain barrier (BBB) permeability using a large dataset comprising 1012 diverse chemicals.