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QSAR study of tetrahydropteridin derivatives as polo-like kinase 1(PLK1) Inhibitors with molecular docking and
1Department of Chemistry, School of Applied Sciences, Om Sterling Global University, Hisar, India.
Abstract:
PLK1 is the key target for dealing with different cancer because it plays an important role in cell proliferation. According to the regulation of OECD, a QSAR model was developed from a dataset of 68 tetrahydropteridin derivatives. Three descriptors (maxHaaCH, ATSC7i, AATS7m) were considered for the development of the QSAR model. The reliability and predictability of the developed QSAR model were evaluated by various statistical parameters (r2 = 0.8213, r2ext = 0.8771 and CCCext = 0.9364). The maxHaaCH descriptor is positively correlated to pIC50 whereas, the ATSC7i and AATS7m are negatively correlated with pIC50. The QSAR model explains all the structural features and shows a good correlation with the activity. Based on molecular modelling techniques, five compounds (D1-D5) were designed. Molecular docking and dynamics studies of the most active compound were performed with PDB ID: 2RKU. The results of the present investigation may be employed to identify and develop effective inhibitors for the treatment of PLK1-related pathophysiological disorders.
Insights
A quantitative structure-activity relationship (QSAR) model was developed for tetrahydropteridin derivatives targeting Polo-like kinase 1 (PLK1) in cancer. This model aids in designing novel PLK1 inhibitors for therapeutic applications.
Area of Science:
- Medicinal Chemistry
- Computational Chemistry
- Cancer Research
Background:
- Polo-like kinase 1 (PLK1) is crucial for cell proliferation and a key target in cancer therapy.
- Tetrahydropteridin derivatives have shown potential as PLK1 inhibitors.
Purpose of the Study:
- To develop a quantitative structure-activity relationship (QSAR) model for tetrahydropteridin derivatives targeting PLK1.
- To identify key molecular descriptors influencing PLK1 inhibitory activity.
- To design novel compounds with potential therapeutic applications against PLK1-related disorders.
Main Methods:
- Development of a QSAR model using a dataset of 68 tetrahydropteridin derivatives, adhering to OECD guidelines.
- Identification of three significant descriptors: maxHaaCH, ATSC7i, and AATS7m.
- Validation of the QSAR model using statistical parameters (r² = 0.8213, r²ext = 0.8771, CCCext = 0.9364).
- Molecular modeling, including docking and dynamics studies of designed compounds (D1-D5) against PDB ID: 2RKU.
Main Results:
- The QSAR model demonstrated high reliability and predictability.
- maxHaaCH showed a positive correlation with pIC50, while ATSC7i and AATS7m exhibited negative correlations.
- Molecular modeling studies identified promising lead compounds for PLK1 inhibition.
Conclusions:
- The developed QSAR model effectively explains structural activity relationships for tetrahydropteridin derivatives.
- The findings provide a foundation for the rational design of potent PLK1 inhibitors.
- This research contributes to the development of novel therapeutic strategies for PLK1-driven cancers.
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