Uncovering potential CDK9 inhibitors from natural compound databases through docking-based virtual screening and MD...

Area of Science:

• Biochemistry
• Molecular Biology
• Computational Chemistry

Background:

• Cyclin-dependent kinase 9 (CDK9) is crucial for gene regulation and transcription, and its dysregulation is linked to various cancers.
• CDK9 is a valuable drug target for cancer treatment, but no CDK9 inhibitors have received FDA approval yet.

Purpose of the Study:

• To identify novel, selective CDK9 inhibitors from a natural compounds library using in silico methods.
• To evaluate the binding affinity, stability, and drug-likeness of potential CDK9 inhibitors.

Main Methods:

• Virtual screening using molecular docking and molecular dynamics simulations.
• Binding free energy calculations and ADMET predictions.
• Comparison with the reference inhibitor Flavopiridol.

Main Results:

• Two natural compounds demonstrated superior binding affinity and interaction with CDK9 compared to Flavopiridol.
• The identified compounds exhibited favorable predicted ADMET profiles and computational cytotoxicity.
• The study successfully identified promising scaffolds for selective CDK9 inhibitor development.

Conclusions:

• The identified natural compounds represent potential lead candidates for developing novel and selective CDK9 inhibitors.
• These findings warrant further experimental validation for therapeutic applications in cancer treatment.