Related Experiment Video
Updated: May 30, 2026
10:17
High-throughput and Comprehensive Drug Surveillance Using Multisegment Injection-Capillary Electrophoresis-Mass Spectrometry
Published on: April 23, 2019
BDDCS applied to over 900 drugs.
Leslie Z Benet1, Fabio Broccatelli, Tudor I Oprea
1Department of Bioengineering & Therapeutic Sciences, Schools of Pharmacy and Medicine, University of California San Francisco, 94143-0912, USA. leslie.benet@ucsf.edu
The AAPS Journal
|August 6, 2011
Summary
This study compiles the Biopharmaceutics Drug Disposition Classification System (BDDCS) for 927 drugs, comparing in silico and experimental data. Findings aid in predicting new molecular entity disposition during drug discovery.
Area of Science:
- Pharmacokinetics and Drug Metabolism
- Computational Chemistry
- Drug Discovery and Development
Background:
- The Biopharmaceutics Drug Disposition Classification System (BDDCS) aids in predicting drug behavior.
- Understanding drug disposition is crucial for effective drug development.
- Existing classifications may not fully capture the complexity of drug behavior.
Purpose of the Study:
- To compile and analyze the BDDCS classification for a large set of drugs (927 compounds).
- To compare in silico predicted parameters with experimentally measured values for drug disposition.
- To explore the utility of BDDCS in early-stage drug discovery for new molecular entities.
Main Methods:
- Compilation of BDDCS classification for 927 drugs, including parent drugs and active metabolites.
- Inclusion of experimentally measured values (solubility, excretion, LogP, LogD) and in silico parameters (LogP, PSA, HBD, HBA).
- Analysis of transporter effects and dose/solubility relationships across BDDCS classes.
Main Results:
- BDDCS classification provided for 927 compounds, with 78.8% administered orally.
- Comparison of in silico and experimental data highlights potential discrepancies and agreements.
- Transporter effects are noted as significant for BDDCS classes 2 and 3.
- Class 4 is identified as potentially underpopulated due to high dose and low solubility.
Conclusions:
- The compiled BDDCS data and comparative analyses offer valuable insights into drug disposition.
- BDDCS can be a useful tool for estimating disposition characteristics of novel chemicals.
- Understanding BDDCS class-specific transporter impacts is essential for drug development strategies.
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