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

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Comparative study between deep learning and QSAR classifications for TNBC inhibitors and novel GPCR agonist discovery

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

AMPL: A Data-Driven Modeling Pipeline for Drug Discovery – arXiv Vanity

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

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

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Battelle and Gauthier develop descriptor-free deep learning model for human plasma., Battelle posted on the topic

A Novel Methodology for Human Plasma Protein Binding: Prediction Validation and Applicability Domain - Pharmaceutical and Biomedical Research

Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models

Systematic analysis of protein targets associated with adverse events of drugs from clinical trials and post-marketing reports

QSAR Model of Unbound Brain-to-Plasma Partition Coefficient, Kp, uu, brain: Incorporating P-glycoprotein Efflux as a Variable

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