ArticlePharmaceutical research2017
Drug Distribution Part 2. Predicting Volume of Distribution from Plasma Protein Binding and Membrane Partitioning.
Article in Pharmaceutical research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pharmacokinetic Alterations in Patients with Chronic Heart Failure: A Systematic Review.International journal of molecular sciences · 2025Pooled it
- Formalizing method choice: a data-driven selection of mechanistic models for predicting human heart drug partitioning.Journal of pharmacokinetics and pharmacodynamics · 2026Article
- L-Type Voltage-Gated CaMedical sciences (Basel, Switzerland) · 2026Article
- Advancing the development of deep learning and machine learning models for oral drugs through diverse descriptor classes: a focus on pharmacokinetic parameters (Vdss and PPB).Molecular diversity · 2026Article
- Article
- Structure-Based Design and In-Silico Evaluation of Computationally Proposed Curcumin Derivatives as Potential Inhibitors of the Coronaviral PLpro Enzymes.Pharmaceuticals (Basel, Switzerland) · 2025Article
- Mechanistic studies on pH-permeability relationships: Impact of the membrane polar headgroup region on pKa.International journal of pharmaceutics · 2025Article
- Article
- Relative Performance of Volume of Distribution Prediction Methods for Lipophilic Drugs with Uncertainty in LogP Value.Pharmaceutical research · 2024Article
- A permeability- and perfusion-based PBPK model for improved prediction of concentration-time profiles.Clinical and translational science · 2022Article
- Using partition analysis as a facile method to derive net clearances.Clinical and translational science · 2022Article
- Folate-Targeted Curcumin-Loaded Niosomes for Site-Specific Delivery in Breast Cancer Treatment: In Silico and In Vitro Study.Molecules (Basel, Switzerland) · 2022Article
- A Biophysical Insight of Camptothecin Biodistribution: Towards a Molecular Understanding of Its Pharmacokinetic Issues.Pharmaceutics · 2021Article
- Predicting Volume of Distribution in Humans: Performance of In Silico Methods for a Large Set of Structurally Diverse Clinical Compounds.Drug metabolism and disposition: the biological fate of chemicals · 2021Article
- A mechanism-based pharmacokinetic model of remdesivir leveraging interspecies scaling to simulate COVID-19 treatment in humans.CPT: pharmacometrics & systems pharmacology · 2021Article
- Lipid Nanosystems and Serum Protein as Biomimetic Interfaces: Predicting the Biodistribution of a Caffeic Acid-Based Antioxidant.Nanotechnology, science and applications · 2021Article
- Biological barriers, and the influence of protein binding on the passage of drugs across them.Molecular biology reports · 2020Review
- Methods to Predict Volume of Distribution.Current pharmacology reports · 2019Article
- Prediction of Tissue-Plasma Partition Coefficients Using Microsomal Partitioning: Incorporation into Physiologically based Pharmacokinetic Models and Steady-State Volume of Distribution Predictions.Drug metabolism and disposition: the biological fate of chemicals · 2019Article
- Evaluation and calibration of high-throughput predictions of chemical distribution to tissues.Journal of pharmacokinetics and pharmacodynamics · 2017Article
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Authors and funding
2 authors.
Funding
Abstract
purposeVolume of distribution is an important pharmacokinetic parameter in the distribution and half-life of a drug. Protein binding and lipid partitioning together determine drug distribution.
methodsHere we present a simple relationship that estimates the volume of distribution with the fraction of drug unbound in both plasma and microsomes. Model equations are based upon a two-compartment system and the experimental fractions unbound in plasma and microsomes represent binding to plasma proteins and cellular lipids, respectively.
resultsThe protein and lipid binding components were parameterized using a dataset containing human in vitro and in vivo parameters for 63 drugs. The resulting equation explains ~84% of the variance in the log of the volume of distribution with an average fold-error of 1.6, with 3 outliers.
conclusionsThese results suggest that V
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.