Literature DB >> 17760433

Influence of conformation on GRIND-based three-dimensional quantitative structure-activity relationship (3D-QSAR).

Giulia Caron1, Giuseppe Ermondi.   

Abstract

To address the dependence of GRIND-based 3D-QSAR on data set flexibility, we investigate a series of oxidosqualene cyclase (OSC) inhibitors. The results indicate that statistical models are determined independently of the data set but that despite identification of the same outliers and the acceptable test set prediction, not all models show good predictive correlation coefficient (q2). Moreover, the best model was obtained using a data set of the lowest energy conformers generated by a conformational analysis.

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Year:  2007        PMID: 17760433     DOI: 10.1021/jm0704651

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  3 in total

1.  3D proteochemometrics: using three-dimensional information of proteins and ligands to address aspects of the selectivity of serine proteases.

Authors:  Vigneshwari Subramanian; Qurrat Ul Ain; Helena Henno; Lars-Olof Pietilä; Julian E Fuchs; Peteris Prusis; Andreas Bender; Gerd Wohlfahrt
Journal:  Medchemcomm       Date:  2017-03-15       Impact factor: 3.597

2.  Experimentally Validated Pharmacoinformatics Approach to Predict hERG Inhibition Potential of New Chemical Entities.

Authors:  Saba Munawar; Monique J Windley; Edwin G Tse; Matthew H Todd; Adam P Hill; Jamie I Vandenberg; Ishrat Jabeen
Journal:  Front Pharmacol       Date:  2018-09-19       Impact factor: 5.810

3.  Combined Pharmacophore and Grid-Independent Molecular Descriptors (GRIND) Analysis to Probe 3D Features of Inositol 1,4,5-Trisphosphate Receptor (IP3R) Inhibitors in Cancer.

Authors:  Humaira Ismatullah; Ishrat Jabeen
Journal:  Int J Mol Sci       Date:  2021-11-30       Impact factor: 5.923

  3 in total

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