Background: The Wnt signaling is one of the crucial pathways in embryonic development
and numerous types of human cancers. Porcupine, as well as the Wnt protein palmitoyltransferase,
is essential to the regulation of the Wnt signaling pathway. The aims of this paper are to we
use the three-dimensional quantitative structure-activity relationship (3D-QSAR) models to gain
indepth comprehension into the structural requirements of PPN inhibitors. Meanwhile, we utilize
the 3D-QSAR models to predict the PPN inhibitory activities of new tricyclic derivatives and further
design high-efficiency and potential PPN inhibitors.
Methods: Using Comparative Molecular Field Analysis (CoMFA) and Comparative Molecular
Similarity Indices Analysis (CoMSIA) approaches implemented in the SYBYL-X 2.0 software
packages in the present study.
Results: The statistical results obtained from CoMFA and CoMSIA models were full of credibility
and remarkable predictive power.
Conclusion: In this study, CoMFA and CoMSIA models were developed for a series of tricyclic
compounds as Porcupine Inhibitors for Wnt pathway production inhibitory activity. All of these
models possessed good internal predictivity. These 3D-QSAR models for tricyclic compounds gain
insights into the relationship of various structural attributes for the biological activity. The calculation
of the data computed from the present study can be used to predict the PPN inhibitory activities
of new tricyclic derivatives and further design high-efficiency and potential PPN inhibitors.