| Literature DB >> 22647291 |
Abdel-Sattar S Hamad Elgazwy1, Daliah S Soliman, Saad R Atta-Allah, Diaa A Ibrahim.
Abstract
UNLABELLED: In vitro antiEntities:
Year: 2012 PMID: 22647291 PMCID: PMC3536690 DOI: 10.1186/1752-153X-6-50
Source DB: PubMed Journal: Chem Cent J ISSN: 1752-153X Impact factor: 4.215
Scheme 1One-step synthesis of chalcones and their use in the synthesis of 3, 5-diaryl-1-substituted-4,5-dihydropyrazoles.
Structure and biological activities of training set molecules (D1-30)
| 0.88 | 1.87 | ||||
| 2.39 | 0.54 | ||||
| 0.09 | 0.19 | ||||
| 3.09 | 5.28 | ||||
| 3.99 | 4.44 | ||||
| 6.64 | 7.54 | ||||
| 6.77 | 7.68 | ||||
| 5.88 | 5.33 | ||||
| 7.89 | 6.66 | ||||
| 7.32 | 6.56 | ||||
| 8.99 | 8.26 | ||||
| 10.09 | 9.88 | ||||
| 8.19 | 11.24 | ||||
| 10.77 | 13.48 | ||||
| 12.35 | 11.09 |
Structure and biological activities of test set molecules (F1-16)
| 18.45 | 16.16 | ||||
| 18.47 | 19.34 | ||||
| 17.21 | 24.21 | ||||
| 28.71 | 25.52 | ||||
| 15.61 | 19.74 | ||||
| 20.64 | 17.52 | ||||
| 15.34 | 21.48 | ||||
| 20.06 | 17.33 |
Figure 1Superimposition of compound D5 with the best pharmacophore model.
Summary of 3D QSAR pharmacophor model results
| Standard error of estimate | 2.963 |
| F Value | 47.491 |
| P Value | 0.363 |
| Significance Level | 0.0500 |
Figure 2Correlation line of log actual activity vs log estimated activity (r 0.695) of the best pharmacophore model.
Figure 3Alignment of compounds D1-30 with the best 3D QSAR pharmacophore.
Figure 4Correlation line of COMFA_PIC50 vs PIC50 of the pharmacophore model.
Figure 5Correlation line of PIC50 vs COMFA_PIC50 of the pharmacophore model.
Summary of COMFA results*
| Standard error of estimate | 0.163 |
| F Value | (n1 = 6, n2 = 23) 24.478 |
| P Value | 0.000 |
| r2 cross-validated | 0.568 |
| Standard error of predictions | 0.21 |
| No. of components | 6 |
| Steric contribution | 0.454 |
| Electrostatic contribution | 0.546 |
| Mean PIC50 | −0.8896 |
| Mean predicted PIC50 | −0.799 |
*Results from leave one out (LOO) cross validation analysis using six components.
Data from partial least squares (PLS) cross-validated analysis of training set
| 0.0810 | 140.0000 | 0.089 | −0.008 | |
| −0.1340 | 142.0000 | 0.052 | −0.186 | |
| −0.3400 | 146.0000 | 0.035 | −0.375 | |
| 0.4700 | 146.0000 | 0.194 | 0.276 | |
| 1.1500 | 146.0000 | 1.196 | −0.046 | |
| 0.5230 | 140.0000 | 0.244 | 0.279 | |
| −0.4900 | 156.0000 | −0.476 | −0.014 | |
| −0.7200 | 134.0000 | −0.828 | 0.108 | |
| −0.5900 | 138.0000 | −0.597 | 0.007 | |
| −0.6200 | 138.0000 | −0.597 | −0.023 | |
| −0.8000 | 134.0000 | −0.805 | 0.005 | |
| −0.8000 | 136.0000 | −0.842 | 0.042 | |
| −0.8400 | 140.0000 | −0.856 | 0.016 | |
| −0.8700 | 142.0000 | −0.691 | −0.179 | |
| −0.7600 | 142.0000 | −0.605 | −0.155 | |
| −0.7200 | 136.0000 | −0.648 | −0.072 | |
| −0.8900 | 142.0000 | −0.848 | −0.042 | |
| −0.8200 | 136.0000 | −1.412 | 0.892 | |
| −0.8600 | 136.0000 | −0.771 | −0.089 | |
| −0.8100 | 138.0000 | −0.679 | −0.131 | |
| −0.9500 | 136.0000 | −1.127 | 0.177 | |
| −0.9100 | 138.0000 | −1.164 | 0.254 | |
| −1.0000 | 142.0000 | −1.178 | 0.178 | |
| −0.9400 | 144.0000 | −1.013 | 0.073 | |
| −0.9100 | 144.0000 | −0.968 | 0.058 | |
| −1.1000 | 138.0000 | −0.972 | 0.128 | |
| −1.0300 | 144.0000 | −1.170 | 0.14 | |
| −2.5300 | 138.0000 | −1.735 | −0.795 | |
| −1.135 | 138.0000 | −1.1000 | −0.035 | |
| −1.042 | 140.0000 | −1.0400 | −0.002 |
Data from PLS cross-validated analysis of test set
| −1.2600 | 134.0000 | −1.384 | −0.124 | |
| −1.2100 | 134.0000 | −1.480 | −0.27 | |
| −1.2700 | 138.0000 | −1.514 | −0.244 | |
| −1.2800 | 144.0000 | −1.342 | −0.062 | |
| −1.2000 | 146.0000 | −0.814 | 0.386 | |
| −1.3800 | 134.0000 | −1.440 | −0.06 | |
| −1.4600 | 132.0000 | −1.602 | −0.142 | |
| −1.4100 | 156.0000 | −0.918 | 0.492 | |
| −1.2000 | 136.0000 | −0.811 | 0.389 | |
| −1.3000 | 136.0000 | −0.906 | 0.494 | |
| −1.3100 | 140.0000 | −0.944 | 0.366 | |
| −1.2400 | 146.0000 | −0.780 | 0.46 | |
| −1.1800 | 148.0000 | −0.247 | 0.933 | |
| −1.3300 | 136.0000 | −0.851 | 0.479 | |
| −1.3000 | 134.0000 | −1.028 | 0.272 | |
| −1.2400 | 158.0000 | −0.346 | 0.894 |
Data from partial least squares (PLS) cross-validated analysis of test set
| Standard error of estimate | 0.372 |
| P Value | 0.0713 |
| r2 cross-validated | 0.268 |
| No. of components | 6 |
| Steric contribution | 0.454 |
| Electrostatic contribution | 0.546 |
| Mean PIC50 | −1.2856 |
| Mean predicted PIC50 | −1.0254 |
*Results from leave one out (LOO) cross validation analysis using six components.
Figure 6(a). Electrostatic contour plot: positive (contribution level of 70%) and negative (contribution level of 30%) charge favoring areas are represented as blue and red contours, respectively (b). Steric contour plot: favored (contribution level 70%) and unflavored (contribution level 30%) areas are represented as green and yellow contours, respectively.