Literature DB >> 17658263

Novel TOPP descriptors in 3D-QSAR analysis of apoptosis inducing 4-aryl-4H-chromenes: comparison versus other 2D- and 3D-descriptors.

Simone Sciabola1, Emanuele Carosati, Lourdes Cucurull-Sanchez, Massimo Baroni, Raimund Mannhold.   

Abstract

Novel 3D-descriptors using Triplets Of Pharmacophoric Points (TOPP) were evaluated in QSAR-studies on 80 apoptosis-inducing 4-aryl-4H-chromenes. A predictive QSAR model was obtained using PLS, confirmed by means of internal and external validations. Performance of the TOPP approach was compared with that of other 2D- and 3D-descriptors; statistical analysis indicates that TOPP descriptors perform best. A ranking of TOPP>GRIND>BCI 4096=ECFP>FCFP>GRID-GOLPE>>DRAGON>>>MDL 166 was achieved. Finally, in a 'consensus' analysis predictions obtained using the single methods were compared with an average approach using six out of eight methods. The use of the average is statistically superior to the single methods. Beyond it, the use of several methods can help to easily investigate the presence/absence of outliers according to the 'consensus' of the predicted values: agreement among all the methods indicates a precise prediction, whereas large differences between predicted values (for the same compounds by different methods) would demand caution when using such predictions.

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Year:  2007        PMID: 17658263     DOI: 10.1016/j.bmc.2007.06.051

Source DB:  PubMed          Journal:  Bioorg Med Chem        ISSN: 0968-0896            Impact factor:   3.641


  3 in total

1.  A novel approach for predicting P-glycoprotein (ABCB1) inhibition using molecular interaction fields.

Authors:  Fabio Broccatelli; Emanuele Carosati; Annalisa Neri; Maria Frosini; Laura Goracci; Tudor I Oprea; Gabriele Cruciani
Journal:  J Med Chem       Date:  2011-02-22       Impact factor: 7.446

2.  New substituted 4H-chromenes as anticancer agents.

Authors:  Shivaputra A Patil; Jin Wang; Xiaochen S Li; Jianjun Chen; Terreia S Jones; Amira Hosni-Ahmed; Renukadevi Patil; William L Seibel; Wei Li; Duane D Miller
Journal:  Bioorg Med Chem Lett       Date:  2012-04-24       Impact factor: 2.823

3.  Identification of Novel Bisbenzimidazole Derivatives as Anticancer Vacuolar (H⁺)-ATPase Inhibitors.

Authors:  Renukadevi Patil; Arpita Kulshrestha; Anjali Tikoo; Sara Fleetwood; Gajendra Katara; Bala Kolli; William Seibel; Alice Gilman-Sachs; Shivaputra A Patil; Kenneth D Beaman
Journal:  Molecules       Date:  2017-09-16       Impact factor: 4.411

  3 in total

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