Format

Send to

Choose Destination
Eur J Med Chem. 2011 Feb;46(2):497-508. doi: 10.1016/j.ejmech.2010.11.029. Epub 2010 Nov 24.

Ligand-based virtual screening procedure for the prediction and the identification of novel β-amyloid aggregation inhibitors using Kohonen maps and Counterpropagation Artificial Neural Networks.

Author information

1
Department of ChemoInformatics, NovaMechanics Ltd, John Kennedy Ave 62-64, Nicosia 1046, Cyprus. afantitis@novamechanics.com

Abstract

In this work we have developed an in silico model to predict the inhibition of β-amyloid aggregation by small organic molecules. In particular we have explored the inhibitory activity of a series of 62 N-phenylanthranilic acids using Kohonen maps and Counterpropagation Artificial Neural Networks. The effects of various structural modifications on biological activity are investigated and novel structures are designed using the developed in silico model. More specifically a search for optimized pharmacophore patterns by insertions, substitutions, and ring fusions of pharmacophoric substituents of the main building block scaffolds is described. The detection of the domain of applicability defines compounds whose estimations can be accepted with confidence.

PMID:
21167625
DOI:
10.1016/j.ejmech.2010.11.029
[Indexed for MEDLINE]

Supplemental Content

Full text links

Icon for Elsevier Science
Loading ...
Support Center