Back to Search
Start Over
Is Experimental Data Quality the Limiting Factor in Predicting the Aqueous Solubility of Druglike Molecules?
- Source :
- Molecular Pharmaceutics. 11:2962-2972
- Publication Year :
- 2014
- Publisher :
- American Chemical Society (ACS), 2014.
-
Abstract
- D.S.P. is grateful for funding from the European Commission through a Marie Curie Intra-European Fellowship within the seventh European Community Framework Programme (FP7-PEOPLE-2010-IEF). D.S.P. thanks the University of Strathclyde for support through its Strategic Appointment and Investment Scheme. Computations were performed at the EPSRC funded ARCHIE-WeSt High Performance Computer (www.archie-west.ac.uk, EPSRC grant no. EP K0005861). J.B.O.M. thanks the Scottish Universities Life Sciences Alliance (SULSA) for financial support and EaStCHEM for access to the EaStCHEM Research Computing Facility. We report the results of testing quantitative structure-property relationships (QSPR) that were trained upon the same druglike molecules but two different sets of solubility data: (i) data extracted from several different sources from the published literature, for which the experimental uncertainty is estimated to be 0.6-0.7 log S units (referred to mol/L); (ii) data measured by a single accurate experimental method (CheqSol), for which experimental uncertainty is typically
- Subjects :
- Bioavailability
Chemistry, Pharmaceutical
Quantitative Structure-Activity Relationship
Pharmaceutical Science
Henderson–Hasselbalch equation
Toxicology
QSPR
Crystal
Drug Discovery
QD
Solubility
Henderson-Hasselbalch
R2C
ADME
Molecular Structure
QSAR
Chemistry
Temperature
Experimental uncertainty analysis
Research Design
Lipinski's rule of five
Regression Analysis
Thermodynamics
Molecular Medicine
CheqSol
BDC
Algorithms
Dissolution
Limiting factor
RM
Quantitative structure–activity relationship
RS
Machine learning
Rule-of-five
Random Forest
Reproducibility of Results
Water
Experimental data
DAS
Experimental error
Druglike
QD Chemistry
RM Therapeutics. Pharmacology
Kinetics
ADMET
Models, Chemical
Pharmaceutical
Polymorph
General solubility equation
Noyes-Whitney
Software
Subjects
Details
- ISSN :
- 15438392 and 15438384
- Volume :
- 11
- Database :
- OpenAIRE
- Journal :
- Molecular Pharmaceutics
- Accession number :
- edsair.doi.dedup.....2c909154d0550b5a3720cd39d0eff889
- Full Text :
- https://doi.org/10.1021/mp500103r