Topochemical models for prediction of telomerase inhibitory activity of flavonoids.
In the present study, the relationship between the topochemical indices and telomerase inhibitory activity of flavonoids has been investigated. Three topochemical indices, Wiener's topochemical index (a distance-based topochemical descriptor), molecular connectivity topochemical index (an adjacency-based topochemical descriptor) and superadjacency topochemical index (an adjacency cum distance-based topochemical descriptor) were used for the present investigation. The values of the Wiener's topochemical index, molecular connectivity topochemical index and superadjacency topochemical index for each of the 30 analogues comprising the data set were computed using an in-house computer program. Resultant data was analysed and suitable models were developed after identification of the active ranges. Subsequently, a biological activity was assigned to each analogue involved in the data set using these models, which was then compared with the reported telomerase inhibitory activity. Statistical significance of proposed models was investigated using intercorrelation analysis. Accuracy of prediction using proposed models was found to vary from 80% to 83%.
Dureja
Harish
H
Faculty of Pharmaceutical Sciences, M. D. University, Rohtak 124001, India.
Madan
Anil Kumar
AK
D003198:Computer Simulation; D015195:Drug Design; D005419:Flavonoids / Q000737:chemistry / Q000378:metabolism; D008956:Models, Chemical; D008968:Molecular Conformation; D015394:Molecular Structure; D013329:Structure-Activity Relationship; D019098:Telomerase / Q000037:antagonists & inhibitors / Q000378:metabolism
D005419:Flavonoids; D019098:Telomerase