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

Evaluation of quantitative structure property relationship algorithms for predicting plasma protein binding in humans - ScienceDirect

Predicting Volume of Distribution in Humans: Performance of In Silico Methods for a Large Set of Structurally Diverse Clinical Compounds

Frontiers Deep Learning-Based Structure-Activity Relationship Modeling for Multi-Category Toxicity Classification: A Case Study of 10K Tox21 Chemicals With High-Throughput Cell-Based Androgen Receptor Bioassay Data

Toxics, Free Full-Text

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

Evaluation of quantitative structure property relationship algorithms for predicting plasma protein binding in humans - ScienceDirect

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

A) Summary of classification models. (B) Statistical results of the

Plots of the experimental and predicted f u,p by the DruMAP server and