Descriptor-Free Deep Learning QSAR Model for the Fraction Unbound in Human Plasma
Por um escritor misterioso
Last updated 21 março 2025

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

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

The effect of plasma protein binding on in vivo efficacy: misconceptions in drug discovery

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

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

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

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

PDF) Descriptor Free QSAR Modeling Using Deep Learning With Long Short-Term Memory Neural Networks

Descriptor-Free Deep Learning QSAR Model for the Fraction Unbound in Human Plasma
Sayak Mukherjee on LinkedIn: Descriptor-Free Deep Learning QSAR Model for the Fraction Unbound in Human…

Evaluation of quantitative structure property relationship algorithms for predicting plasma protein binding in humans - ScienceDirect
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A Novel Methodology for Human Plasma Protein Binding: Prediction Validation and Applicability Domain - Pharmaceutical and Biomedical Research

Download - ISTC
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