Document Detail


Prediction of pH-dependent aqueous solubility of Histone Deacetylase (HDAC) inhibitors.
MedLine Citation:
PMID:  18311642     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Recently we developed a model for prediction of pH-dependent aqueous solubility of drugs and drug like molecules. In the present work, the model was applied on a series of novel Histone Deacetylases (HDAC) inhibitors discovered at TopoTarget. The applicability of our model was evaluated on the series of HDAC inhibitors by use of Self-Organizing Maps (SOM) and 2D-projection of the HDAC inhibitors on the chemical space of the training data set of the artificial neural network (ANN) module. The model was refined for the particular chemical space of interest, which led to two modifications in the training data set of the ANN. The performance of the original and the two modified versions of the model were evaluated against the commercial software from Simulations-plus and pH-dependent solubility measurements for representative compounds of the series. The results of the evaluation indicate that one can develop models that are more accurate in predicting differences in the solubility of structurally very similar compounds than models that have been trained on structurally unbiased, diverse data sets. Such 'tailor-made' models have the potential to become trustworthy enough to replace time-consuming and expensive medium- and high-throughput solubility experiments by providing results of similar or even better quality.
Authors:
I Kouskoumvekaki; N T Hansen; F Björkling; S M Vadlamudi; S O Jónsdóttir
Publication Detail:
Type:  Evaluation Studies; Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  SAR and QSAR in environmental research     Volume:  19     ISSN:  1062-936X     ISO Abbreviation:  SAR QSAR Environ Res     Publication Date:    2008 Jan-Mar
Date Detail:
Created Date:  2008-03-03     Completed Date:  2008-08-26     Revised Date:  2009-11-19    
Medline Journal Info:
Nlm Unique ID:  9440156     Medline TA:  SAR QSAR Environ Res     Country:  England    
Other Details:
Languages:  eng     Pagination:  167-77     Citation Subset:  IM    
Affiliation:
Center for Biological Sequence Analysis, BioCentrum, Technical University of Denmark, Lyngby, Denmark. irene@cbs.dtu.dk
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MeSH Terms
Descriptor/Qualifier:
Enzyme Inhibitors / chemistry*
Forecasting
Histone Deacetylase Inhibitors*
Hydrogen-Ion Concentration
Models, Chemical*
Reproducibility of Results
Solubility
Chemical
Reg. No./Substance:
0/Enzyme Inhibitors; 0/Histone Deacetylase Inhibitors

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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