Descriptor-Free Deep Learning QSAR Model for the Fraction Unbound in Human Plasma

In silico prediction of brain exposure: drug free fraction, unbound brain to plasma concentration ratio and equilibrium half-life.

Toxics, Free Full-Text

In silico prediction of brain exposure: drug free fraction, unbound brain to plasma concentration ratio and equilibrium half-life. - Abstract - Europe PMC

In Silico Prediction of Fraction Unbound in Human Plasma from Chemical Fingerprint Using Automated Machine Learning

DeepDelta: predicting ADMET improvements of molecular derivatives with deep learning, Journal of Cheminformatics

In silico ADME/T modelling for rational drug design, Quarterly Reviews of Biophysics

Development of a 2D-QSAR Model for Tissue-to-Plasma Partition Coefficient Value with High Accuracy Using Machine Learning Method, Minimum Required Experimental Values, and Physicochemical Descriptors

PDF) Predicting Fraction Unbound in Human Plasma from Chemical Structure: Improved Accuracy in the Low Value Ranges

In Silico Prediction of Compounds Binding to Human Plasma Proteins by QSAR Models - Sun - 2018 - ChemMedChem - Wiley Online Library