Background: Sirtuin 1 (Sirt1) and sirtuin 2 (Sirt2) are NAD+-dependent histone
deacetylases which play important functional roles in the removal of the acetyl group of acetyllysine
substrates. Considering the dysregulation of Sirt1 and Sirt2 as etiological causes of diseases,
Sirt1 and Sirt2 are lucrative target proteins for treatment, thus there has been great interest in the
development of Sirt1 and Sirt2 inhibitors.
Objective: This study compiled the bioactivity data of Sirt1 and Sirt2 for the construction of
quantitative structure-activity relationship (QSAR) models in accordance with the OECD
Methods: Simplified molecular-input line-entry system (SMILES)-based molecular descriptors
were used to characterize the molecular features of inhibitors while the Monte Carlo method of the
CORAL software was employed for multivariate analysis. The dataset was subjected to 3 random
splits in which each split separated the data into 4 subsets consisting of training, invisible training,
calibration, and external sets.
Results: Statistical indices for the evaluation of QSAR models suggested the good statistical
quality of models of Sirt1 and Sirt2 inhibitors. Furthermore, mechanistic interpretation of
molecular substructures that are responsible for modulating the bioactivity (i.e., promoters of
increase or decrease of bioactivity) was extracted via the analysis of correlation weights. It
exhibited molecular features involved in Sirt1 and Sirt2 inhibitors.
Conclusion: It is anticipated that QSAR models presented herein can be useful as guidelines in the
rational design of potential Sirt1 and Sirt2 inhibitors for the treatment of Sirtuin-related diseases.