Comparison of benzodiazepine-like compounds using topological analysis and genetic algorithms.

N. Meurice, L. Leherte, D. P. Vercauteren

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

Four compounds within a set of ligands for the benzodiazepine receptors are characterized by their electron density maps at different resolution levels and reconstructed from calculated structure factors. The resulting complex three-dimensional density maps are first simplified into connected graphs using topological analysis. Then, an original genetic algorithm method, GAGS (Genetic Algorithm for Graph Similarity search), is developed and implemented in order to compare the connected graphs. Finally, the analysis of the best solutions of the algorithm are expressed in terms of functional group superimpositions. The GAGS analysis is applied to different resolution levels of the electron density maps and the resulting models are compared in order to assess the influence of the resolution on the resulting pharmacophore models.

Original languageEnglish (US)
Pages (from-to)195-232
Number of pages38
JournalSAR and QSAR in Environmental Research
Volume8
Issue number3-4
StatePublished - 1998
Externally publishedYes

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Benzodiazepines
Genetic algorithms
Carrier concentration
GABA-A Receptors
Electrons
Functional groups
Ligands

Cite this

Comparison of benzodiazepine-like compounds using topological analysis and genetic algorithms. / Meurice, N.; Leherte, L.; Vercauteren, D. P.

In: SAR and QSAR in Environmental Research, Vol. 8, No. 3-4, 1998, p. 195-232.

Research output: Contribution to journalArticle

Meurice, N. ; Leherte, L. ; Vercauteren, D. P. / Comparison of benzodiazepine-like compounds using topological analysis and genetic algorithms. In: SAR and QSAR in Environmental Research. 1998 ; Vol. 8, No. 3-4. pp. 195-232.
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