Literature DB >> 19067000

Three-dimensional quantitative structure-activity relationship (3D-QSAR) studies of various benzodiazepine analogues of gamma-secretase inhibitors.

Tarnvir Sammi1, Om Silakari, Muttineni Ravikumar.   

Abstract

A 3D QSAR analysis has been performed on a series of 67 benzodiazepine analogues reported as gamma-secretase inhibitors using molecular field analysis (MFA), with G/PLS to predict steric and electrostatic molecular field interaction for the activity. The MFA study was carried out using a training set of 54 compounds. The predictive ability of model developed was assessed using a test set of 13 compounds (r(2) pred as high as 0.729). The analyzed MFA model has demonstrated a good fit, having r(2) value of 0.858 and cross validated coefficient, r(2)cv value as 0.790. The analysis of the best MFA model provided insight into possible modification of the molecules for better activity.

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Year:  2008        PMID: 19067000     DOI: 10.1007/s00894-008-0361-5

Source DB:  PubMed          Journal:  J Mol Model        ISSN: 0948-5023            Impact factor:   1.810


  14 in total

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Authors:  Ian Churcher; Susie Williams; Sonia Kerrad; Timothy Harrison; José L Castro; Mark S Shearman; Huw D Lewis; Earl E Clarke; Jonathan D J Wrigley; Dirk Beher; Yui S Tang; Wensheng Liu
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8.  Quantitation of amyloid-beta peptides in biological milieu using a novel homogeneous time-resolved fluorescence (HTRF) assay.

Authors:  E E Clarke; M S Shearman
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9.  High affinity, bioavailable 3-amino-1,4-benzodiazepine-based gamma-secretase inhibitors.

Authors:  Andrew P Owens; Alan Nadin; Adam C Talbot; Earl E Clarke; Timothy Harrison; Huw D Lewis; Michael Reilly; Jonathan D J Wrigley; José L Castro
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  2 in total

1.  Toward a general predictive QSAR model for gamma-secretase inhibitors.

Authors:  Subhash Ajmani; Sridhara Janardhan; Vellarkad N Viswanadhan
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Review 2.  Current mathematical methods used in QSAR/QSPR studies.

Authors:  Peixun Liu; Wei Long
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  2 in total

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