Literature DB >> 17238251

Pharmacophoric fingerprint method (TOPP) for 3D-QSAR modeling: application to CYP2D6 metabolic stability.

Simone Sciabola1, Iñaki Morao, Marcel J de Groot.   

Abstract

The application of a new 3-point pharmacophore-fingerprinting package (TOPP, Triplets Of Pharmacophoric Points) to develop QSAR models is discussed. In the CYP2D6 metabolic stability case, these 3D pharmacophoric fingerprints have shown to be as valid as other 3D descriptors and 2D features. Interestingly, it was found in the 3D models that the use of more realistic substrate conformations, by an additional docking step, did not improve the statistical results significantly. A detailed analysis of the generated pharmacophoric hypotheses is consistent with the previously proposed dual interaction mode of substrates within the active site of CYP2D6.

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Year:  2007        PMID: 17238251     DOI: 10.1021/ci060143q

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  2 in total

1.  Molecular properties and CYP2D6 substrates: central nervous system therapeutics case study and pattern analysis of a substrate database.

Authors:  Laura K Chico; Heather A Behanna; Wenhui Hu; Guifa Zhong; Saktimayee Mitra Roy; D Martin Watterson
Journal:  Drug Metab Dispos       Date:  2009-08-06       Impact factor: 3.922

2.  QSAR model based on weighted MCS trees approach for the representation of molecule data sets.

Authors:  Bernardo Palacios-Bejarano; Gonzalo Cerruela García; Irene Luque Ruiz; Miguel Ángel Gómez-Nieto
Journal:  J Comput Aided Mol Des       Date:  2013-02-06       Impact factor: 3.686

  2 in total

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