In Silico Prediction of Volume of Distribution in Humans. Extensive Data Set and the Exploration of Linear and Nonlinear Methods Coupled with Molecular Interaction Fields Descriptors
Author:
Affiliation:
1. Modelling, Computation and Molecular Properties Group, Biogen, 225 Binney Street, Cambridge, Massachusetts 02142, United States
Publisher
American Chemical Society (ACS)
Subject
Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.6b00044
Reference29 articles.
1. Volume of Distribution in Drug Design
2. Prediction of Volume of Distribution Values in Humans for Neutral and Basic Drugs Using Physicochemical Measurements and Plasma Protein Binding Data
3. Prediction of Human Volume of Distribution Values for Neutral and Basic Drugs. 2. Extended Data Set and Leave-Class-Out Statistics
4. A Hybrid Mixture Discriminant Analysis−Random Forest Computational Model for the Prediction of Volume of Distribution of Drugs in Human
5. In Silico Prediction of Volume of Distribution in Human Using Linear and Nonlinear Models on a 669 Compound Data Set
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